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Scale Space and Variational Methods in Computer Vision

Third International Conference, SSVM 2011, Ein-Gedi, Israel, May 29 -- June 2, 2011, Revised Selected Papers

Language EnglishEnglish
Book Paperback
Book Scale Space and Variational Methods in Computer Vision Alfred M. Bruckstein
Libristo code: 01659094
Publishers Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, January 2012
This book constitutes the thoroughly refereed post-conference proceedings of the Third International... Full description
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58.33 €
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This book constitutes the thoroughly refereed post-conference proceedings of the Third International Conference on Scale Space Methods and Variational Methods in Computer Vision, SSVM 2011, held in Ein-Gedi, Israel in May/June 2011. §The 24 revised full papers presented together with 44 poster papers were carefully reviewed and selected from 78 submissions. The papers are organized in topical sections on denoising and enhancement, segmentation, image representation and invariants, shape analysis, and optical flow.

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About the book

Full name Scale Space and Variational Methods in Computer Vision
Author Alfred M. Bruckstein, Bart ter Haar Romeny, Alexander M. Bronstein, Michael M. Bronstein
Language English
Binding Book - Paperback
Date of issue 2012
Number of pages 798
EAN 9783642247842
ISBN 3642247849
Libristo code 01659094
Publishers Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Weight 1194
Dimensions 171 x 236 x 42

Categories

Computing & Information Technology > Computer science > Artificial intelligence > Expert systems / knowledge-based systems
Computing & Information Technology > Computer science > Artificial intelligence > Pattern recognition
Computing & Information Technology > Computer science > Artificial intelligence > Computer vision
Computing & Information Technology > Computer science > Human–computer interaction > User interface design & usability
Computing & Information Technology > Computer programming / software engineering > Algorithms & data structures
Computing & Information Technology > Computer programming / software engineering > Graphics programming
Computing & Information Technology > Databases > Data mining
Computing & Information Technology > Computer science > Image processing
Computing & Information Technology > Graphical & digital media applications
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