Editors:
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 2525)
Conference series link(s): BMCV: International Workshop on Biologically Motivated Computer Vision
Conference proceedings info: BMCV 2002.
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Table of contents (65 papers)
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Front Matter
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Neurons and Features
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Posters (1)
About this book
This book constitutes the refereed proceedings of the Second International Workshop on Biologically Motivated Computer Vision, BMCV 2002, held in Tübingen, Germany, in November 2002.
The 22 revised full papers and 37 revised short papers presented together with 6 invited papers were carefully reviewed and selected from 97 submissions. The papers are organized in topical sections on neurons and features, motion, mid-level vision, recognition - from scenes to neurons, attention, robotics, and cognitive vision.
Keywords
Editors and Affiliations
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Max Planck Institute for Biological Cybernetics, Tübingen, Germany
Heinrich H. Bülthoff, Christian Wallraven
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Department of Computer Science and Engineering, Korea University, Seoul, Korea
Seong-Whan Lee
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Department of Brain and Cognitive Sciences, Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, USA
Tomaso A. Poggio
Bibliographic Information
Book Title: Biologically Motivated Computer Vision
Book Subtitle: Second International Workshop, BMCV 2002, Tübingen, Germany, November 22-24, 2002, Proceedings
Editors: Heinrich H. Bülthoff, Christian Wallraven, Seong-Whan Lee, Tomaso A. Poggio
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/3-540-36181-2
Publisher: Springer Berlin, Heidelberg
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 2002
Softcover ISBN: 978-3-540-00174-4Published: 13 November 2002
eBook ISBN: 978-3-540-36181-7Published: 02 August 2003
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XIV, 666
Topics: Image Processing and Computer Vision, Algorithm Analysis and Problem Complexity, Artificial Intelligence, Computer Graphics, Pattern Recognition, Bioinformatics