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Putative Match Analysis: A Repeatable Alternative to RANSAC for Matching of Aerial Images
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.
Institute of Informatics and Telematics, Pisa, Italy.
2012 (English)In: VISAPP 2012 - Proceedings of the International Conference on Computer Vision Theory and Applications, Volume 2 / [ed] Gabriela Csurka, José Braz, SciTePress , 2012, 341-344 p.Conference paper, Poster (with or without abstract) (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. 

Place, publisher, year, edition, pages
SciTePress , 2012. 341-344 p.
Keyword [en]
RANSAC, Feature Matching, Image Stitching, Aerial photos
National Category
Other Computer and Information Science
Identifiers
URN: urn:nbn:se:uu:diva-188382OAI: oai:DiVA.org:uu-188382DiVA: diva2:577822
Conference
International Conference on Computer Vision Theory and Applications, VISAPP2012, Rome, Italy, 24-26 February, 2012
Available from: 2012-12-17 Created: 2012-12-17 Last updated: 2017-01-25

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Hast, Anders

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