Editors:
- High quality selected papers
- Unique visibility
- State of the art research
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 6667)
Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)
Conference series link(s): SSVM: International Conference on Scale Space and Variational Methods in Computer Vision
Conference proceedings info: SSVM 2011.
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Table of contents (66 papers)
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Front Matter
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Denoising and Enhancement (O1 and O5)
About this book
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.
Editors and Affiliations
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Computer Science Department, Technion — Israel Institute of Technology, Haifa, Israel
Alfred M. Bruckstein
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Department of Biomedical Engineering, Biomedical Image Analysis and Interpretation, Eindhoven University of Technology, Eindhoven, The Netherlands
Bart M. Haar Romeny
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Faculaty of Engineering, School of Electrical Engineering, Tel Aviv University, Israel
Alexander M. Bronstein
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Institute of Computationa Science, Faculty of Informatics SI-109, Università della Svizzera Italiana, Lugano, Switzerland
Michael M. Bronstein
Bibliographic Information
Book Title: Scale Space and Variational Methods in Computer Vision
Book Subtitle: Third International Conference, SSVM 2011, Ein-Gedi, Israel, May 29 -- June 2, 2011, Revised Selected Papers
Editors: Alfred M. Bruckstein, Bart M. Haar Romeny, Alexander M. Bronstein, Michael M. Bronstein
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-642-24785-9
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag GmbH Berlin Heidelberg 2012
Softcover ISBN: 978-3-642-24784-2Published: 09 January 2012
eBook ISBN: 978-3-642-24785-9Published: 03 January 2012
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XIV, 798
Topics: Image Processing and Computer Vision, Computer Graphics, Pattern Recognition, Algorithm Analysis and Problem Complexity, Data Mining and Knowledge Discovery, Computation by Abstract Devices