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Weighted Distances Based on Neighbourhood Sequences in Non-Standard Three-Dimensional Grids
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Centre for Image Analysis. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis.
2007 (English)In: Image Analysis, Proceedings / [ed] Ersboll BK, Pedersen KS, 2007, 452-461 p.Conference paper, Published paper (Refereed)
Abstract [en]

By combining weighted distances and distances based on neighbourhood sequences, a new family of distance functions with potentially low rotational dependency is obtained. The basic theory for these distance functions, including functional form of the distance between two points, is presented for the face-centered cubic grid and the body-centered cubic grid. By minimizing an error function, the optimal combination of weights and neighbourhood sequence is derived.

Place, publisher, year, edition, pages
2007. 452-461 p.
Series
Lecture Notes in Computer Science, ISSN 0302-9743 ; 4522
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:uu:diva-11900DOI: 10.1007/978-3-540-73040-8_46ISI: 000247364000046ISBN: 978-3-540-73039-2 (print)OAI: oai:DiVA.org:uu-11900DiVA: diva2:39669
Conference
15th Scandinavian Conference on Image Analysis Aalborg, DENMARK, JUN 10-14, 2007
Available from: 2007-11-04 Created: 2007-11-04 Last updated: 2011-04-13Bibliographically approved

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Strand, Robin

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