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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 (Paperback, 2012) Loot Price: R1,618
Discovery Miles 16 180
Scale Space and Variational Methods in Computer Vision - Third International Conference, SSVM 2011, Ein-Gedi, Israel, May 29 --...

Scale Space and Variational Methods in Computer Vision - Third International Conference, SSVM 2011, Ein-Gedi, Israel, May 29 -- June 2, 2011, Revised Selected Papers (Paperback, 2012)

Alfred M. Bruckstein, Bart M.ter Haar Romeny, Alexander M. Bronstein, Michael M. Bronstein

Series: Lecture Notes in Computer Science, 6667

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Loot Price R1,618 Discovery Miles 16 180 | Repayment Terms: R152 pm x 12*

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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.

General

Imprint: Springer-Verlag
Country of origin: Germany
Series: Lecture Notes in Computer Science, 6667
Release date: 2012
First published: 2012
Editors: Alfred M. Bruckstein • Bart M.ter Haar Romeny • Alexander M. Bronstein • Michael M. Bronstein
Dimensions: 235 x 155 x 42mm (L x W x T)
Format: Paperback
Pages: 798
Edition: 2012
ISBN-13: 978-3-642-24784-2
Categories: Books > Computing & IT > General theory of computing > Data structures
Books > Computing & IT > Computer programming > Algorithms & procedures
Books > Computing & IT > Social & legal aspects of computing > Human-computer interaction
Books > Computing & IT > Applications of computing > Databases > Data mining
Books > Computing & IT > Applications of computing > Image processing > General
LSN: 3-642-24784-9
Barcode: 9783642247842

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