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  • 201. Hall, Lynne
    et al.
    Hume, Colette
    Tazzyman, Sarah
    Deshmukh, Amol
    Janarthanam, Srinivasan
    Hastie, Helen
    Aylett, Ruth
    Castellano, Ginevra
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Papadopoulos, Fotios
    Jones, Aidan
    Corrigan, Lee J.
    Paiva, Ana
    Alves-Oliveira, Patrícia
    Ribeiro, Tiago
    Barendregt, Wolmet
    Serholt, Sofia
    Kappas, Arvid
    Map reading with and empathic robot tutor2016In: Proc. 11th ACM/IEEE International Conference on Human Robot Interaction, Piscataway, NJ: IEEE Press, 2016, p. 567-567Conference paper (Refereed)
  • 202.
    Hasan, Sadia
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction.
    Johannesson, Petra
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction.
    Agilitet under styrande villkor: En fallstudie om systemutvecklingsmetoders betydelse på Skatteverket2016Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
    Abstract [en]

    The purpose of this study was to 1) identify driving forces for introducing new system development methodologies at the Swedish Tax Agency. The preconditions of the Swedish Tax Agency also affect the use of new methodologies. The study therefore also aimed to 2) portrait the influence of the preconditions on the organization. Furthermore, the object of the study was to 3) illustrate the use of methods in system development and also to 4) investigate the contributions of the methods to the organization and the four case projects within the Swedish Tax Agency. The study was carried out through a qualitative methodology, with interviews, and a quantitative methodology, with questionnaires and document collection. A combination of methods was used in order to acquire a holistic perspective of a complex issue.

    From the study, some conclusions have been drawn. Firstly; being modern, fashionable and a desirable employer are driving forces for introducing new system development methods, together with a desire of increased efficiency when developing systems. Secondly; the main preconditions were identified as the organizational culture and how the purpose of a change is communicated to the affected employees. Thirdly; all of the project teams that were that participated in the study was found to use different hybrids of system development methods, which lead to the fourth conclusion; the used methods was found to contribute with different things, such as structure in project planning and when tracking sources of errors, commitment in work and good group dynamics. 

  • 203.
    Hast, Anders
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    How to Promote Student Creativity and Learning using Tutorials in Teaching Graphics and Visualisation2014In: Proc. 16th International Conference on Geometry and Graphics, Innsbruck University Press, 2014, p. 626-633Conference paper (Other academic)
  • 204.
    Hast, Anders
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    How to promote student creativity and learning using tutorials in teaching graphics and visualisation2014In: Journal for Geometry and Graphics, ISSN 1433-8157, Vol. 18, no 2, p. 237-245Article in journal (Refereed)
    Abstract [en]

    Course assignments play an important role in the learning process. However, they can be constructed in such a way that they prohibit creativity, rather than promoting it. Therefore it was investigated how programming assignments are set up that students encounter in computer science education and which approach could help the students in problem solving and whether these would help or prohibit them to be creative or not. Especially, an online tutorial about visualisation using VTK and Python was used as an example in different courses on visualisation. It was also examined how students in the computer graphics courses that did not have access to such tutorial answered questions about assignments. 

  • 205.
    Hast, Anders
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Interest Point Detection Based on the Extended Structure Tensor with a Scale Space Parameter2015In: International Conference on Computer Vision Theory and Applications, 2015, p. 1-8Conference paper (Refereed)
  • 206.
    Hast, Anders
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Mathematics + Computer Science = True2015Conference paper (Refereed)
  • 207.
    Hast, Anders
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Robust and Invariant Phase Based Local Feature Matching2014In: 22nd International Conference on Pattern Recognition (ICPR), 2014, 2014, p. 809-814Conference paper (Refereed)
    Abstract [en]

    Any feature matching algorithm needs to be robust, producing few false positives but also needs to be invariant to changes in rotation, illumination and scale. Several improvements are proposed to a previously published Phase Correlation based algorithm, which operates on local disc areas, using the Log Polar Transform to sample the disc neighborhood and the FFT to obtain the phase. It will be shown that the matching can be done in the frequency domain directly, using the Chi-squared distance, instead of computing the cross power spectrum. Moreover, it will be shown how combining these methods yields an algorithm that sorts out a majority of the false positives. The need for a peak to sub lobe ratio computation in order to cope with sub pixel accuracy will be discussed as well as how the FFT of the periodic component can enhance the matching. The result is a robust local feature matcher that is able to cope with rotational, illumination and scale differences to a certain degree.

  • 208.
    Hast, Anders
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Simple filter design for first and second order derivatives by a double filtering approach2014In: Pattern Recognition Letters, ISSN 0167-8655, E-ISSN 1872-7344, Vol. 42, p. 65-71Article in journal (Refereed)
    Abstract [en]

    Spline filters are usually implemented in two steps, where in the first step the basis coefficients are computed by deconvolving the sampled function with a factorized filter and the second step reconstructs the sampled function. It will be shown how separable spline filters using different splines can be constructed with fixed kernels, requiring no inverse filtering. Especially, it is discussed how first and second order derivatives can be computed correctly using cubic or trigonometric splines by a double filtering approach giving filters of length 7.

  • 209.
    Hast, Anders
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Towards Automatic Stereo Pair Extraction for 3D Visualisation of Historical Aerial Photographs2014In: IC3D, the International Conference on 3D Imaging, 2014, p. 1-8Conference paper (Refereed)
    Abstract [en]

    An efficient and almost automatic method for stereo pair extraction of aerial photos is proposed. There are several challenging problems that needs to be taken into consideration when creating stereo pairs from historical aerial photos. These problems are discussed and solutions are proposed in order to obtain an almost automatic procedure with as little input as possible needed from the user.  The result is a rectified and illumination corrected stereo pair. It will be discussed why viewing aerial photos in stereo is important since the depth cue gives more information than single photos do.

  • 210.
    Hast, Anders
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Capurro, Carlotta
    Nollet, Dries
    Pletinckx, Daniel
    Estevez, B.
    Pazos, M.
    Franco, J. M.
    Marchetti, Andrea
    Stereo Visualisation of Historical Aerial Photos: A Useful and Important Aerial Archeology Research Tool2016Conference paper (Refereed)
  • 211.
    Hast, Anders
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Cullhed, Per
    Uppsala University, University Library.
    Vats, Ekta
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    TexT – Text extractor tool for handwritten document transcription and annotation2018In: Digital Libraries and Multimedia Archives, Springer, 2018, p. 81-92Conference paper (Refereed)
    Abstract [en]

    This paper presents a framework for semi-automatic transcription of large-scale historical handwritten documents and proposes a simple user-friendly text extractor tool, TexT for transcription. The proposed approach provides a quick and easy transcription of text using computer assisted interactive technique. The algorithm finds multiple occurrences of the marked text on-the-fly using a word spotting system. TexT is also capable of performing on-the-fly annotation of handwritten text with automatic generation of ground truth labels, and dynamic adjustment and correction of user generated bounding box annotations with the word being perfectly encapsulated. The user can view the document and the found words in the original form or with background noise removed for easier visualization of transcription results. The effectiveness of TexT is demonstrated on an archival manuscript collection from well-known publicly available dataset.

  • 212.
    Hast, Anders
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Cullhed, Per
    Uppsala University, University Library.
    Vats, Ekta
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Abrate, Matteo
    Making large collections of handwritten material easily accessible and searchable2019In: Digital Libraries: Supporting Open Science, Springer, 2019, p. 18-28Conference paper (Refereed)
  • 213.
    Hast, Anders
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Fornés, Alicia
    Univ Autonoma Barcelona, Comp Vis Ctr, Dept Comp Sci, Bellaterra, Spain.
    A segmentation-free handwritten word spotting approach by relaxed feature matching2016In: Proc. 12th IAPR Workshop on Document Analysis Systems, IEEE, 2016, p. 150-155Conference paper (Refereed)
    Abstract [en]

    The automatic recognition of historical handwritten documents is still considered a challenging task. For this reason, word spotting emerges as a good alternative for making the information contained in these documents available to the user. Word spotting is defined as the task of retrieving all instances of the query word in a document collection, becoming a useful tool for information retrieval. In this paper we propose a segmentation-free word spotting approach able to deal with large document collections. Our method is inspired on feature matching algorithms that have been applied to image matching and retrieval. Since handwritten words have different shape, there is no exact transformation to be obtained. However, the sufficient degree of relaxation is achieved by using a Fourier based descriptor and an alternative approach to RANSAC called PUMA. The proposed approach is evaluated on historical marriage records, achieving promising results.

  • 214.
    Hast, Anders
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Hanke, Michael
    Royal Inst Technol, KTH, Dept Math, Sch Engn Sci, Stockholm, Sweden.
    Karlsson, Hans O.
    Uppsala University, Disciplinary Domain of Science and Technology, Chemistry, Department of Chemistry - Ångström, Theoretical Chemistry.
    Swedish eScience Education – a Graduate School in eScience2015In: Proc. 11th International Conference on e-Science, IEEE Computer Society, 2015, p. 31-35Conference paper (Refereed)
    Abstract [en]

    Swedish eScience Education (SeSE) is a national graduate school in eScience in Sweden. It comes from the collaboration between two major research initiatives in eScience and the school has turned out to be very successful. It has made it possible for students at different universities to get access to education that is not normally available at their home universities. With SeSE they get access to education by the top experts within their respective field. We argue why such graduate school is important and how it is different from training offered by many HPC centres in Europe. Furthermore, examples of courses and their structure is discussed as well as lessons learned from SeSE and its two predecessors in Sweden.

  • 215.
    Hast, Anders
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Jenke, Peter
    University of Gävle.
    Seipel, Stefan
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Shortest Diagonal Triangulation of Convex Layers2013In: The IASTED International Conference on Signal Processing, Pattern Recognition and Applications., 2013, p. 1-7Conference paper (Refereed)
  • 216.
    Hast, Anders
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Kylberg, Gustav
    Clustering in 2D as a Fast Deterministic Alternative to RANSAC2015Conference paper (Refereed)
  • 217.
    Hast, Anders
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Kylberg, Gustav
    Vironova AB, Stockholm, Sweden.
    Sintorn, Ida-Maria
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction. Vironova AB, Stockholm, Sweden.
    An efficient descriptor based on radial line integration for fast non invariant matching and registration of microscopy images2017In: Advanced Concepts for Intelligent Vision Systems, Springer, 2017, p. 723-734Conference paper (Refereed)
    Abstract [en]

    Descriptors such as SURF and SIFT contain a framework for handling rotation and scale invariance, which generally is not needed when registration and stitching of images in microscopy is the focus. Instead speed and efficiency are more important factors. We propose a descriptor that performs very well for these criteria, which is based on the idea of radial line integration. The result is a descriptor that outperforms both SURF and SIFT when it comes to speed and the number of inliers, even for rather short descriptors.

  • 218.
    Hast, Anders
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Lind, Mats
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Vats, Ekta
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Embedded Prototype Subspace Classification: A subspace learning framework2019In: Computer Analysis of Images and Patterns, Springer, 2019Conference paper (Refereed)
  • 219.
    Hast, Anders
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Lind, Mats
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Vats, Ekta
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Subspace Learning and Classification2019In: Proc. 3rd Swedish Symposium on Deep Learning, 2019Conference paper (Other academic)
  • 220.
    Hast, Anders
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Marchetti, Andrea
    IIT, CNR.
    An Efficient Preconditioner and a Modified RANSAC for Fast and Robust Feature Matching.2012In: International Conferences in Central Europe on Computer Graphics, Visualization and Computer Vision: Communcations Paper, 2012, p. 11-18Conference paper (Refereed)
  • 221.
    Hast, Anders
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Marchetti, Andrea
    Improved illumination correction that preserves medium sized objects2014In: Machine Graphics & Vision, ISSN 1230-0535, Vol. 23, no 1/2, p. 3-20Article in journal (Refereed)
  • 222.
    Hast, Anders
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Marchetti, Andrea
    IIT, CNR.
    Invariant Interest Point Detection Based on Variations of the Spinor Tensor2014In: WSCG, Communication papers proceedings , ISBN 978-80-86943-71-8, 2014, p. 49-56Conference paper (Refereed)
    Abstract [en]

    Image features are obtained by using some kind of interest point detector, which often is based on a symmetric matrix such as the structure tensor or the Hessian matrix. These features need to be invariant to rotation and to some degree also to scaling in order to be useful for feature matching in applications such as image registration. Recently, the spinor tensor has been proposed for edge detection. It was investigated herein how it also can be used for feature matching and it will be proven that some simplifications, leading to variations of the response function based on the tensor, will improve its characteristics. The result is a set of different approaches that will be compared to the well known methods using the Hessian and the structure tensor. Most importantly the invariance when it comes to rotation and scaling will be compared.

  • 223.
    Hast, Anders
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Marchetti, Andrea
    Institute of Informatics and Telematics, Pisa, Italy.
    Putative Match Analysis: A Repeatable Alternative to RANSAC for Matching of Aerial Images2012In: VISAPP 2012 - Proceedings of the International Conference on Computer Vision Theory and Applications, Volume 2 / [ed] Gabriela Csurka, José Braz, SciTePress , 2012, p. 341-344Conference paper (Refereed)
    Abstract [en]

     One disadvantage with RANSAC is that it is based on randomness and will therefore often yield a different set of inliers in each run, especially if the dataset contains a large number of outliers. A repeatable algorithm for finding both matches and the homography is proposed, which in our case is used for image stitching and the obtained points are also used for georeferencing. This algorithm will yield the same set of matches every time and is therefore a useful tool when trying to evaluate other algorithms involved and their parameters. Moreover a refining step is proposed that finds the best matches depending on what geometric transformation is used, which also can be utilized as a refining step for RANSAC. 

  • 224.
    Hast, Anders
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Marchetti, Andrea
    IIT, CNR.
    Rotation Invariant Feature Matching - Based on Gaussian Filtered Log Polar Transform and Phase Correlation.2013In: 8th International Symposium on Image and Signal Processing and Analysis: (ISPA 2013), 2013, p. 1-6Conference paper (Refereed)
    Abstract [en]

    Rotation invariance is an important property for any feature matching method and it has been implemented in different ways for different methods. The Log Polar Transform has primarily been used for image registration where it is applied after phase correlation, which in its turn is applied on the whole images or in the case of template matching, applied on major parts of them followed by an exhaustive search. We investigate how this transform can be used on local neighborhoods of features and how phase correlation as well as normalized cross correlation can be applied on the result. Thus, the order is reversed and we argue why it is important to do so. We demonstrate a common problem with the log polar transform and that many implementations of it are not suitable for local feature detectors. We propose an implementation of it based on Gaussian filtering. We also show that phase correlation generally will perform better than normalized cross correlation. Both handles illumination differences well, but changes in scale is handled better by the phase correlation approach. 

  • 225.
    Hast, Anders
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Marchetti, Andrea
    CNR, Ist Informat & Telemat, Pisa, Italy.
    Stereo Visualisation of Historical Aerial Photos – a Valuable Digital Heritage Research Tool2015In: 2015 Digital Heritage International Congress, Vol 2: Analysis & Interpretation Theory, Methodologies, Preservation & Standards Digital Heritage Projects & Applications, 2015, p. 663-666Conference paper (Refereed)
    Abstract [en]

    We demonstrate with several examples how historical aerial photos can benefit from being viewed in stereo and how this can be useful as tool in digital heritage research. The main reason why stereo images are important is that they give a much better understanding of what is actually in the scene than single photos can. The important factor is the depth cue that helps understanding the content and adds the ability to distinguish between objects such as houses and trees and the ground as well as estimating heights of objects. There are however still challenges but also possibilities that will be discussed.

  • 226.
    Hast, Anders
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Marchetti, Andrea
    Stereo Visualisation of Historical Aerial Photos as a Valuable Tool for Archeological Research2015In: Computer Applications and Quantitative Methods in Archaeology, CAA, 2015, p. 1-3Conference paper (Refereed)
  • 227.
    Hast, Anders
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Marchetti, Andrea
    The Challenges and Advantages with a Parallel Implementation of Feature Matching2016In: Proc. 11th International Conference on Computer Vision Theory and Applications, 2016Conference paper (Refereed)
  • 228.
    Hast, Anders
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Mårtensson, Lasse
    Vats, Ekta
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Heil, Raphaela
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Creating an Atlas over Handwritten Script Signs2019In: Digital Humanities in the Nordic Countries, 2019Conference paper (Refereed)
  • 229.
    Hast, Anders
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Nysjö, Johan
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Optimal RANSAC - Towards a Repeatable Algorithm for Finding the Optimal Set2013In: Journal of WSCG, ISSN 1213-6972, E-ISSN 1213-6964, Vol. 21, no 1, p. 21-30Article in journal (Refereed)
  • 230.
    Hast, Anders
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Sablina, Victoria A.
    Sintorn, Ida-Maria
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Kylberg, Gustaf
    A fast Fourier based feature descriptor and a cascade nearest neighbour search with an efficient matching pipeline for mosaicing of microscopy images2018In: Pattern Recognition and Image Analysis, ISSN 1054-6618, Vol. 28, no 2, p. 261-272Article in journal (Refereed)
  • 231.
    Hast, Anders
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Sablina, Victoria
    Kylberg, Gustav
    Sintorn, Ida-Maria
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    A Simple and Efficient Feature Descriptor for Fast Matching2015In: WSCG / [ed] V. Skala, 2015, p. 135-142Conference paper (Refereed)
  • 232.
    Hast, Anders
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Vats, Ekta
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    An intelligent user interface for efficient semi-automatic transcription of historical handwritten documents2018In: Proc. 23rd International Conference on Intelligent User Interfaces Companion, New York: ACM Press, 2018, article id 48Conference paper (Refereed)
    Abstract [en]

    Transcription of large-scale historical handwritten document images is a tedious task. Machine learning techniques, such as deep learning, are popularly used for quick transcription, but often require a substantial amount of pre-transcribed word examples for training. Instead of line-by-line word transcription, this paper proposes a simple training-free gamification strategy where all occurrences of each arbitrarily selected word is transcribed once, using an intelligent user interface implemented in this work. The proposed approach offers a fast and user-friendly semi-automatic transcription that allows multiple users to work on the same document collection simultaneously.

  • 233.
    Hast, Anders
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Vats, Ekta
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Radial line Fourier descriptor for historical handwritten text representation2018In: Journal of WSCG, ISSN 1213-6972, E-ISSN 1213-6964, Vol. 26, no 1, p. 31-40Article in journal (Refereed)
  • 234.
    Hast, Anders
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Weidendorfer, Josef
    Weiss, Jan-Philipp
    UCHPC 2012: Fifth Workshop on UnConventional High Performance Computing2013In: Euro-Par 2012: Parallel Processing Workshops, Springer Berlin/Heidelberg, 2013, Vol. 7640, p. 505-506Conference paper (Refereed)
  • 235.
    Heil, Raphaela
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction.
    Vats, Ekta
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Hast, Anders
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Exploring the Applicability of Capsule Networks for WordSpotting in Historical Handwritten Manuscripts2018Conference paper (Other academic)
  • 236.
    Heil, Raphaela
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Vats, Ekta
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Hast, Anders
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Word Spotting in Historical Handwritten Manuscripts using Capsule Networks2018Conference paper (Other academic)
    Abstract [en]

    Word spotting is popularly used for digitisation and transcription of historical handwritten documents. Recently, deep learning based methods have dominated the current state-of-the-art in learning-based word spotting. However, deep learning architectures such as Convolutional Neural Networks (CNNs) require a large amount of training data, and suffer from translation invariance. Capsule Networks (CapsNet) have been recently introduced as a data-efficient alternative to CNNs. This work explores the applicability of CapsNets for segmentation-based word spotting, and is the first such effort in the Handwritten Text Recognition (HTR) community to the best of authors' knowledge. The effectiveness of CapsNets will be empirically evaluated on well-known historical handwritten datasets using standard evaluation measures. The impact of varying amounts of training data on the recognition performance will be investigated, along with a comparison with the state-of-the-art methods.

  • 237.
    Hesse, Sara
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction.
    Holmin, Johan
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction.
    Entreprenörers hantering av bergmodeller i E4 Förbifart Stockholm: En studie över hur utformningen av modell påverkar produktionen2017Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
    Abstract [en]

    The goal of this master thesis is to study the challenges the contractors are experiencing when building in the project E4 The Stockholm Bypass (E4 Förbifart Stockholm) by using digital models. This is the first step for The Swedish Transport Administration towards the process of implementing BIM in the construction industry, which has led to several challenges and therefore is important to evaluate. The work of building E4 The Stockholm bypass can be seen with a sociotechnical perspective, since both humans and complex technology systems are involved in the project.

    The study used a qualitative method by interviewing the contractors, the promoters of the model and The Swedish Transport Administration. Furthermore, workshops were held with construction managers, BIM- specialists and the contractors’ measurement surveyors. The results were analysed by the theories regarding Human-Technology-Organisation (HTO), Human-Technology Interaction (HCI) with focus on usability and information management.

    The study resulted in a couple of recommendation to The Swedish Transport Administration. The main aspects were to involve the contractors earlier in the development of the models; have easily available information in the models necessary for production; change the contractors sceptical attitude towards BIM by listening to their issues; have a clear communication through the existing informations paths and create a common standard of format regarding exchange of information. By following the recommendations, the challenges regarding the work of the contractor will decrease and the implementation of models and BIM could proceed more efficiently. 

  • 238.
    Hirsch, Linda
    et al.
    Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Informatics and Media.
    Björsell, Anton
    Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Informatics and Media.
    Laaksoharju, Mikael
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Obaid, Mohammad
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Investigating design implications towards a social robot as a memory trainer2017In: Proc. 5th International Conference on Human Agent Interaction, New York: ACM Press, 2017, p. 5-10Conference paper (Refereed)
    Abstract [en]

    Most currently existing tools for cognitive memory therapy require physical interaction or at least the presence of another person. The goal of this paper is to investigate whether a social robot might be an acceptable solution for a more inclusive therapy for people with memory disorder and severe physical limitations. Applying a user-centered design approach, we conducted semi-structured interviews with five healthcare professionals; four medical doctors and a psychologist, in three iterations followed by a focus group activity. An analysis of the collected data suggests several implications for design with an emphasis on embodiment, social skills, interaction, and memory training exercises.

  • 239.
    Holm, Malin
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction.
    Simulating Dialysis: Concept Evaluation of a PC Training Simulator for Nurses2013Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
    Abstract [en]

    Nurses at a haemodialysis clinic are required to handle complex technological equipment in a stressful environment, with the patients’ lives at risk. A training needs analysis (TNA) that was made at Karolinska University Hospital Huddinge in 2010 identifies the nurses’ need to practice alarm situations in the safe environment of a computer-based training simulator. This project builds on the conclusions of the TNA and the aim is to evaluate the concept of a training simulator by developing and evaluating a prototype program.

    The simulation model used is the prototype is based on a problem solving approach with virtual patient scenarios. During the entire development process continuous input has been gathered from nurses who work with dialysis. The project was completed by structured user test focusing on evaluating the usability and realism of the prototype.

    The conclusion of the project is that nurses working with dialysis need to practice alarm situations and that a training simulator could meet this need.

    The report is written in English.

  • 240.
    Holst, David
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction.
    DICOM Second Generation RT: An Analysis of New Radiation Concepts by way of First-Second Generation Conversion2019Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
    Abstract [en]

    The current DICOM communication standard for radiotherapy is outdated and has serious design issues. A new version of the standard, known as DICOM 2nd generation for Radiotherapy, has been introduced and this thesis examines new concepts relating to radiation delivery. Firstly, some background into the practice of radiotherapy is given, as well as a description of the DICOM standard. Secondly, the thesis describes the design issues of the current standard and how the 2nd generation aims to solve these. Thirdly, the thesis explores the conversion of a first generation C-Arm Photon/Electron treatment plan to the second generation RT Radiation and RT Radiation Set IODs. A converter is implemented based on a model proposed in a previous work. With some simplifications, the conversion of Basic Static and Arc treatment plans is shown to be successful. Conversion of further dynamic plan types is judged to be fairly simple to implement following the same methodology. The conversion model’s efficacy and testability are discussed and while the model is flexible and facilitates extension to further modalities some areas of improvement are suggested. Lastly, a GUI for the converter is demonstrated and the possibilities of user interaction during conversion are discussed. 

  • 241. Holzwarth, Karolin
    et al.
    Köhler, Ralf
    Philipsen, Lars
    Tokoyoda, Koji
    Ladyhina, Valeriia
    Wählby, Carolina
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Niesner, Raluca A.
    Hauser, Anja E.
    Multiplexed fluorescence microscopy reveals heterogeneity among stromal cells in mouse bone marrow sections2018In: Cytometry Part A, ISSN 1552-4922, E-ISSN 1552-4930, Vol. 93, no 9, p. 876-888Article in journal (Refereed)
  • 242.
    Hägg, Ragnar
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction.
    Scalable High Efficiency Video Coding: Cross-layer optimization2015Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
    Abstract [en]

    In July 2014, the second version of the HEVC/H.265 video coding standard was announced, and it included the Scalable High efficiency Video Coding (SHVC) extension. SHVC is used for coding a video stream with subset streams of the same video with lower quality, and it supports spatial, temporal and SNR scalability among others. This is used to enable easy adaption of a video stream, by dropping or adding packages, to devices with different screen sizes, computing power and bandwidth. In this project SHVC has been implemented in Ericsson's research encoder C65. Some cross-layer optimizations have also been implemented and evaluated. The main goal of these optimizations are to make better decisions when choosing the reference layer's motion parameters and QP, by doing multi-pass coding and using the coded enhancement layer information from the first pass.

  • 243.
    Hägg Sylvén, Ylva
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction.
    Requirement Analysis and Design of an Internet Portal for Intervention Studies2016Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
    Abstract [en]

    The evolution of technology has made it possible to provide Internet interventions to reduce unwanted symptoms of psychological distress and improve patients’ health. However, Internet interventions are complex and consist of several components that need to function in order to make interventions successful. One component is the interface of the platform where the interventions are created, delivered and evaluated. The platform needs to be designed for the users and the focus should be on the utility in order for the interventions to be successful. The strategic research programme U-CARE at Uppsala University has developed a platform, the U-CARE Portal, to deliver and evaluate interventions via the Internet. The task of designing the intervention studies on the Portal was perceived by the users to be difficult. The users often needed support in order to perform the task correctly. The aim of the thesis was to perform a requirement analysis in order to get an understanding on how to improve the interface of the study design, and then use the requirements in a design proposal for a more intuitive redesign. Four users designed test studies on the Portal during interviews. The material from the interviews formed the basis of the requirements, which were fulfilled with different design solutions in a design proposal. It was then modified through three iterations where the users commented on a paper prototype of the design.

  • 244.
    Häggblom, Jonas
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction.
    Bergman, Andreas
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction.
    Möjligheter och hinder i vidareutnyttjandet och tillgängliggörandet av öppna data i Örebro kommun2016Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
    Abstract [en]

    The release of public sector information as open data is expected to bring various benefits such as citizen participation, transparency and innovation. In recent years’ open government data has been getting more attention at various levels of government causing several frameworks and manuals to be published. These publications aim to help local governments by providing guidance on how open data efforts should be organized and implemented in practice and a common to these reports is that they contain general descriptions and guidelines that are addressed to all public organizations working with open data. This demands that the proposed practices must be customized when adapted by a specific organization. The municipality of Örebro has an ongoing commitment to open data. Since the interest in open data started to take off in Sweden, the municipality has periodically released new open data sets and on three occasions conducted hackathons with an open data theme. However, the recent introduction of a new municipal management, as well as the loss of an open data key figure, has impeded the continued work with open data in Örebro. Therefore, there is reason to examine what measures should be taken to improve the efforts of open data release in the municipality. In this study interviews and workshops were conducted to identify barriers, goals and activities related to open data in order to bring forward empirically supported recommendations that help the organization to overcome barriers and work towards a more streamlined open data process. The results suggest that the municipality in Örebro should make efforts to increase organizational capabilities, nurture citizen engagement and support a more goal-oriented strategy for open data.

  • 245.
    Hökars, Felicia
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction.
    Förutsättningar för utveckling av självkörande skyttelbussar i kollektivtrafiken2019Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
    Abstract [en]

    The most sustainable way to incorporate self-driving vehicles into our transportation system is to combine them with high capacity public transport. Unlike other forms of self-driving vehicles, in recent years self-driving shuttles have been tested to provide shorter transportation services. In a near future these shuttles could serve as feeders to and from stations, which will increase accessibility to public transport for more people. A first aim of this study was to examine the conditions for future development and use of self-driving shuttles as a complement to public transport in Sweden. The theoretical framework Technological Innovation Systems (TIS) was used in order to analyze the development. A second aim of this study was to examine whether TIS is appropriate for answering the first aim. Qualitative interviews were conducted with representatives from actor groups that were considered important for the development. The thesis suggest that the development is in a demonstration phase. The pilot tests with self-driving shuttles have played an important role in order to coordinate actors and create networks for knowledge diffusion. Identified blocking mechanism found are the complicated process of obtaining permission for conducting tests and uncertainties around technology development and use. In order to reach a niche market phase and commercialization the study suggest a continued support for more pilot tests and simplification of the permission process.

  • 246.
    Hörding, Olga
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction.
    A comparative study between user research in academia and user research in commercially driven companies2015Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
    Abstract [en]

    The following degree project is written within the department of Information Technology at Uppsala University. The subject studied is the difference between academic user research and such user research performed by professionals at commercially driven companies. Academic’s and professional’s agendas, interests and approaches seem to differ and consequently a gap emerges. To perform a comparison between academically defined and practically defined user research a case study and a literature study were conducted. During the literature study three main academic approaches to perform user research were studied and summarized in a unified view. The case study was performed over 4 months at Spotify in the User Research team to gain insights into how user research is conducted in a commercially driven company. The degree project shows that academics and professionals can benefit from each other. For example, academics can integrate various mix methods to better understand design and concepts and base assumptions on more reliable data. Professionals can benefit from academics by adapting a similar systematic approach to perform user research and have a larger impact on the development.

  • 247.
    Ilic, Vladimir
    et al.
    Faculty of Engineering, University of Novi Sad, Serbia.
    Lindblad, Joakim
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction. Faculty of Engineering, University of Novi Sad, Serbia.
    Sladoje, Natasa
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction. Faculty of Engineering, University of Novi Sad, Serbia.
    Precise Euclidean distance transforms in 3D from voxel coverage representation2015In: Pattern Recognition Letters, ISSN 0167-8655, E-ISSN 1872-7344, Vol. 65, p. 184-191Article in journal (Refereed)
    Abstract [en]

    Distance transforms (DTs) are, usually, defined on a binary image as a mapping from each background element to the distance between its centre and the centre of the closest object element. However, due to discretization effects, such DTs have limited precision, including reduced rotational and translational invariance. We show in this paper that a significant improvement in performance of Euclidean DTs can be achieved if voxel coverage values are utilized and the position of an object boundary is estimated with sub-voxel precision. We propose two algorithms of linear time complexity for estimating Euclidean DT with sub-voxel precision. The evaluation confirms that both algorithms provide 4-14 times increased accuracy compared to what is achievable from a binary object representation.

  • 248.
    Ilic, Vladimir
    et al.
    Faculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia.
    Lindblad, Joakim
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction. Mathematical Institute, Serbian Academy of Sciences and Arts, Belgrade, Serbi.
    Sladoje, Nataša
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Mathematical Institute, Serbian Academy of Sciences and Arts, Belgrade, Serbi.
    Signature of a Shape Based on Its Pixel Coverage Representation2016In: Discrete Geometry for Computer Imagery, DGCI 2016. Lecture Notes in Computer Science, Vol. 9647, pp. 181-193, Springer 2016: 19th IAPR International Conference, DGCI 2016, Nantes, France, April 18-20, 2016. Proceedings / [ed] Normand, Nicolas, Guédon, Jeanpierre, Autrusseau, Florent, Springer Berlin/Heidelberg, 2016, Vol. 9647, p. 181-193Conference paper (Refereed)
    Abstract [en]

    Distance from the boundary of a shape to its centroid, a.k.a. signature of a shape, is a frequently used shape descriptor. Commonly, the observed shape results from a crisp (binary) segmentation of an image. The loss of information associated with binarization leads to a significant decrease in accuracy and precision of the signature, as well as its reduced invariance w.r.t. translation and rotation. Coverage information enables better estimation of edge position within a pixel. In this paper, we propose an iterative method for computing the signature of a shape utilizing its pixel coverage representation. The proposed method iteratively improves the accuracy of the computed signature, starting from a good initial estimate. A statistical study indicates considerable improvements in both accuracy and precision, compared to a crisp approach and a previously proposed approach based on averaging signatures over α-cuts of a fuzzy representation. We observe improved performance of the proposed descriptor in the presence of noise and reduced variation under translation and rotation.

  • 249.
    Isaksson-Lutteman, Gunnika
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Future Train Traffic Control: Development and deployment of new principles and systems in train traffic control2012Licentiate thesis, comprehensive summary (Other academic)
    Abstract [en]

    The train traffic control system of the future requires new solutions and strategies in order to better meet tomorrow’s demands and goals. Uppsala University and Trafikverket have been collaborating for several years in research regarding train traffic control and how to improve traffic controllers’ support systems and working environment. At an early stage in the collaboration studies and analysis of important aspects of the traffic controller’s tasks, strategies, decision making, use of information and support systems were undertaken. This research resulted in new control paradigms, from control by exception to control by replanning. By using this paradigm we developed and designed prototype systems and interfaces that could better meet future goals and contribute to more optimal use of infrastructure capacity. Based on this research, a new operational traffic control system called STEG was developed in an iterative and user-centred design process. The system was deployed and tested operatively at a train traffic control centre in Sweden. The following evaluations focused on what happens when STEG is introduced in train traffic controllers’ work places. The evaluation of STEG showed satisfied users with a feeling of active involvement during the design and deployment processes, and gave confirmation that the new control strategies are functioning. STEG was seen as successful and was thereafter developed into MULTI-STEG, intended to be used by several users simultaneously, supporting them to share information in a new way. MULTI-STEG was deployed and tested at another train traffic control centre in Sweden. The following evaluations of MULTI-STEG focused on what happens when several users are involved and how train traffic controllers felt when sharing information, that before would have only been in their own minds, with each other. Some complications occurred due to mistakes in the deployment process, but altogether the evaluation showed positive attitudes towards the new system and MULTI-STEG was perceived as an efficient system for train traffic control.

    The main results are that STEG and MULTI-STEG can be used as an efficient train traffic control system and the new system can reduce the unnecessary cognitive load currently placed upon traffic controllers in today’s system. Also the deployment process is fundamental to the acceptance or non-acceptance of a new system by users. STEG was developed in a user-centred design process, but it is important that the deployment process is also user-centred.

    List of papers
    1. Development and implementation of new principles and systems for train traffic control in Sweden
    Open this publication in new window or tab >>Development and implementation of new principles and systems for train traffic control in Sweden
    2010 (English)In: Computers in Railways XII: Computer System Design and Operation in Railways and other Transit Systems, Southampton, UK: WIT Press , 2010, p. 441-450Conference paper, Published paper (Refereed)
    Place, publisher, year, edition, pages
    Southampton, UK: WIT Press, 2010
    National Category
    Computer and Information Sciences
    Identifiers
    urn:nbn:se:uu:diva-150562 (URN)10.2495/CR100411 (DOI)978-1-84564-468-0 (ISBN)
    Available from: 2011-03-31 Created: 2011-03-31 Last updated: 2018-01-12Bibliographically approved
    2. Operative tests of a new system for train traffic control
    Open this publication in new window or tab >>Operative tests of a new system for train traffic control
    Show others...
    2009 (English)In: Rail Human Factors around the World: Impacts on and of People for Successful Rail Operations / [ed] Dadashi, Nastaran, 2009, p. 424-433Conference paper, Published paper (Other academic)
    Abstract [en]

    Tomorrow’s train traffic systems requires new strategies and solutions for efficient traintraffic control and utilization of track capacity, especially in traffic systems with a highdegree of deregulated and mixed traffic. There are many different goals associated withthe traffic control tasks and the work of the traffic controllers (dispatchers). Examples aresafety, efficiency of the traffic with regard to timeliness and energy consumption, goodservice and information to passengers and customers etc. Today’s traffic controlsystems and user interfaces do not efficiently support such goals. In earlier research wehave analyzed important aspects of the traffic controller’s tasks, strategies, decisionmaking, use of information and support systems etc. Based on this research we,together with Banverket (Swedish Rail Administration), have designed prototypesystems and interfaces that better can meet future goals and contribute to more optimaluse of infrastructure capacity. These prototype systems have now been developed into afully operational system which has been tested during 6 months, for control of train trafficin a section of the Swedish rail system. The evaluation shows that the system efficientlysupports control tasks and is well accepted by the involved traffic controllers.

    Keywords
    train traffic control, dispatchers, operator interface, decision support, situation awareness
    National Category
    Human Computer Interaction
    Identifiers
    urn:nbn:se:uu:diva-169138 (URN)978-0-415-64475-4 (ISBN)
    Conference
    Third International Conference on Rail Human Factors, March 3-5, 2009, Lille, France
    Available from: 2012-02-23 Created: 2012-02-23 Last updated: 2018-01-12Bibliographically approved
    3. Reducing unnecessary cognitive load in train traffic control
    Open this publication in new window or tab >>Reducing unnecessary cognitive load in train traffic control
    2011 (English)Conference paper, Published paper (Other academic)
    Abstract [en]

    Uppsala University has collaborated with Swedish National Railway Administration in research about train traffic control and how to improve traffic controllers’ work environment, so that they can better meet future demands. This has resulted in a new operational train traffic control system called STEG. The traffic controllers are today forced to develop and use very complex mental models which take a long time to learn. We have also found that their cognitive capacity is more used to indentify, understand and analyze the traffic situation and less to solve problems and find optimal solutions to disturbances. The objective for developing STEG was to change this situation and reduce unnecessary cognitive load. Interviews with traffic controllers show that STEG has reduced the complexity of their mental models and contributed to less unnecessary cognitive load in operation. Our conclusion is that by reducing the complexity of their mental model, they can be skilled much faster and they are now able to use their cognitive capacity and skills on the important parts of their work.

    Keywords
    mental models, cognitive load, learning, operator interface, decision making, situation awareness, perception, train traffic control
    National Category
    Human Computer Interaction
    Identifiers
    urn:nbn:se:uu:diva-169142 (URN)
    Conference
    Conference for work environment research, June 15-17, 2011, Luleå, Sweden
    Available from: 2012-02-23 Created: 2012-02-23 Last updated: 2018-01-12Bibliographically approved
    4. All or nothing: Deployment must also be user-centred
    Open this publication in new window or tab >>All or nothing: Deployment must also be user-centred
    2012 (English)In: Ergonomics Open Journal, ISSN 1875-9343, E-ISSN 1875-9343Article in journal (Other academic) Submitted
    Abstract [en]

    This article describes the importance ofusing a user-centred deployment process.The article is based on a case study of twotrain traffic control centres where the samesystem, STEG, was deployed with differentcontexts.

    National Category
    Human Computer Interaction
    Identifiers
    urn:nbn:se:uu:diva-169144 (URN)
    Available from: 2012-02-23 Created: 2012-02-23 Last updated: 2018-01-12Bibliographically approved
  • 250.
    Ishaq, Omer
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Image Analysis and Deep Learning for Applications in Microscopy2016Doctoral thesis, comprehensive summary (Other academic)
    Abstract [en]

    Quantitative microscopy deals with the extraction of quantitative measurements from samples observed under a microscope. Recent developments in microscopy systems, sample preparation and handling techniques have enabled high throughput biological experiments resulting in large amounts of image data, at biological scales ranging from subcellular structures such as fluorescently tagged nucleic acid sequences to whole organisms such as zebrafish embryos. Consequently, methods and algorithms for automated quantitative analysis of these images have become increasingly important. These methods range from traditional image analysis techniques to use of deep learning architectures.

    Many biomedical microscopy assays result in fluorescent spots. Robust detection and precise localization of these spots are two important, albeit sometimes overlapping, areas for application of quantitative image analysis. We demonstrate the use of popular deep learning architectures for spot detection and compare them against more traditional parametric model-based approaches. Moreover, we quantify the effect of pre-training and change in the size of training sets on detection performance. Thereafter, we determine the potential of training deep networks on synthetic and semi-synthetic datasets and their comparison with networks trained on manually annotated real data. In addition, we present a two-alternative forced-choice based tool for assisting in manual annotation of real image data. On a spot localization track, we parallelize a popular compressed sensing based localization method and evaluate its performance in conjunction with different optimizers, noise conditions and spot densities. We investigate its sensitivity to different point spread function estimates.

    Zebrafish is an important model organism, attractive for whole-organism image-based assays for drug discovery campaigns. The effect of drug-induced neuronal damage may be expressed in the form of zebrafish shape deformation. First, we present an automated method for accurate quantification of tail deformations in multi-fish micro-plate wells using image analysis techniques such as illumination correction, segmentation, generation of branch-free skeletons of partial tail-segments and their fusion to generate complete tails. Later, we demonstrate the use of a deep learning-based pipeline for classifying micro-plate wells as either drug-affected or negative controls, resulting in competitive performance, and compare the performance from deep learning against that from traditional image analysis approaches. 

    List of papers
    1. An Evaluation of the Faster STORM Method for Super-resolution Microscopy
    Open this publication in new window or tab >>An Evaluation of the Faster STORM Method for Super-resolution Microscopy
    2014 (English)In: Proceedings of the 22nd International Conference on Pattern Recognition, 2014, p. 4435-4440Conference paper, Published paper (Refereed)
    Abstract [en]

    Development of new stochastic super-resolution methods together with fluorescence microscopy imaging enables visualization of biological processes at increasing spatial and temporal resolution. Quantitative evaluation of such imaging experiments call for computational analysis methods that localize the signals with high precision and recall. Furthermore, it is desirable that the methods are fast and possible to parallelize so that the ever increasing amounts of collected data can be handled in an efficient way. We here in address signal detection in super-resolution microscopy by approaches based on compressed sensing. We describe how a previously published approach can be parallelized, reducing processing time at least four times. We also evaluate the effect of a greedy optimization approach on signal recovery at high noise and molecule density. Furthermore, our evaluation reveals how previously published compressed sensing algorithms have a performance that degrades to that of a random signal detector at high molecule density. Finally, we show the approximation of the imaging system's point spread function affects recall and precision of signal detection, illustrating the importance of parameter optimization. We evaluate the methods on synthetic data with varying signal to noise ratio and increasing molecular density, and visualize performance on realsuper-resolution microscopy data from a time-lapse sequence of livingcells.

    Series
    International Conference on Pattern Recognition, ISSN 1051-4651
    National Category
    Signal Processing Medical Image Processing
    Research subject
    Computerized Image Processing
    Identifiers
    urn:nbn:se:uu:diva-238600 (URN)10.1109/ICPR.2014.759 (DOI)000359818004096 ()978-1-4799-5208-3 (ISBN)
    Conference
    22nd International Conference on Pattern Recognition, 24-28 August, 2014S, tockholm, Sweden
    Available from: 2014-12-14 Created: 2014-12-14 Last updated: 2016-05-20Bibliographically approved
    2. Evaluation of Deep Learning for Detection of Fluorescent Spots in Real Data
    Open this publication in new window or tab >>Evaluation of Deep Learning for Detection of Fluorescent Spots in Real Data
    (English)Manuscript (preprint) (Other academic)
    National Category
    Signal Processing
    Identifiers
    urn:nbn:se:uu:diva-283731 (URN)
    Available from: 2016-04-14 Created: 2016-04-14 Last updated: 2016-05-20
    3. Training of Machine Learning Methods for Fluorescent Spot Detection
    Open this publication in new window or tab >>Training of Machine Learning Methods for Fluorescent Spot Detection
    (English)Article in journal (Refereed) Submitted
    National Category
    Signal Processing
    Identifiers
    urn:nbn:se:uu:diva-283736 (URN)
    Available from: 2016-04-14 Created: 2016-04-14 Last updated: 2016-05-20
    4. Compaction of rolling circle amplification products increases signal integrity and signal–to–noise ratio
    Open this publication in new window or tab >>Compaction of rolling circle amplification products increases signal integrity and signal–to–noise ratio
    Show others...
    2015 (English)In: Scientific Reports, ISSN 2045-2322, E-ISSN 2045-2322, Vol. 5, p. 12317:1-10, article id 12317Article in journal (Refereed) Published
    National Category
    Medical Image Processing
    Research subject
    Computerized Image Processing
    Identifiers
    urn:nbn:se:uu:diva-260286 (URN)10.1038/srep12317 (DOI)000358358900001 ()26202090 (PubMedID)
    Funder
    EU, FP7, Seventh Framework Programme, 278568EU, FP7, Seventh Framework Programme, 259796Swedish Research Council
    Available from: 2015-07-23 Created: 2015-08-18 Last updated: 2018-02-27Bibliographically approved
    5. Bridging Histology and Bioinformatics: Computational analysis of spatially resolved transcriptomics
    Open this publication in new window or tab >>Bridging Histology and Bioinformatics: Computational analysis of spatially resolved transcriptomics
    2017 (English)In: Proceedings of the IEEE, ISSN 0018-9219, E-ISSN 1558-2256, Vol. 105, no 3, p. 530-541Article in journal (Refereed) Published
    Abstract [en]

    It is well known that cells in tissue display a large heterogeneity in gene expression due to differences in cell lineage origin and variation in the local environment. Traditional methods that analyze gene expression from bulk RNA extracts fail to accurately describe this heterogeneity because of their intrinsic limitation in cellular and spatial resolution. Also, information on histology in the form of tissue architecture and organization is lost in the process. Recently, new transcriptome-wide analysis technologies have enabled the study of RNA molecules directly in tissue samples, thus maintaining spatial resolution and complementing histological information with molecular information important for the understanding of many biological processes and potentially relevant for the clinical management of cancer patients. These new methods generally comprise three levels of analysis. At the first level, biochemical techniques are used to generate signals that can be imaged by different means of fluorescence microscopy. At the second level, images are subject to digital image processing and analysis in order to detect and identify the aforementioned signals. At the third level, the collected data are analyzed and transformed into interpretable information by statistical methods and visualization techniques relating them to each other, to spatial distribution, and to tissue morphology. In this review, we describe state-of-the-art techniques used at all three levels of analysis. Finally, we discuss future perspective in this fast-growing field of spatially resolved transcriptomics.

    Keywords
    Biomedical image processing, biomedical signal analysis, computer-aided analysis, genetics, image analysis, image processing
    National Category
    Medical Image Processing
    Research subject
    Computerized Image Processing
    Identifiers
    urn:nbn:se:uu:diva-283723 (URN)10.1109/JPROC.2016.2538562 (DOI)000395894900011 ()
    Funder
    Science for Life Laboratory - a national resource center for high-throughput molecular bioscienceeSSENCE - An eScience CollaborationSwedish Research Council, 2012-4968 2014-00599
    Available from: 2016-04-06 Created: 2016-04-14 Last updated: 2017-04-27Bibliographically approved
    6. Automated quantification of Zebrafish tail deformation for high-throughput drug screening
    Open this publication in new window or tab >>Automated quantification of Zebrafish tail deformation for high-throughput drug screening
    Show others...
    2013 (English)In: Proc. 10th International Symposium on Biomedical Imaging: From Nano to Macro, Piscataway, NJ: IEEE , 2013, p. 902-905Conference paper, Published paper (Refereed)
    Place, publisher, year, edition, pages
    Piscataway, NJ: IEEE, 2013
    National Category
    Medical Image Processing
    Identifiers
    urn:nbn:se:uu:diva-215457 (URN)10.1109/ISBI.2013.6556621 (DOI)000326900100226 ()978-1-4673-6456-0 (ISBN)
    Conference
    ISBI 2013, April 7-11, San Francisco, CA
    Available from: 2013-04-11 Created: 2014-01-14 Last updated: 2016-05-20Bibliographically approved
    7. Deep Fish: Deep Learning-based Classification of Zebrafish Deformation for High-throughput Screening
    Open this publication in new window or tab >>Deep Fish: Deep Learning-based Classification of Zebrafish Deformation for High-throughput Screening
    (English)Manuscript (preprint) (Other academic)
    National Category
    Signal Processing
    Identifiers
    urn:nbn:se:uu:diva-283738 (URN)
    Available from: 2016-04-14 Created: 2016-04-14 Last updated: 2016-05-20
2345678 201 - 250 of 774
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