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Shape Perception in Human and Computer Vision

An Interdisciplinary Perspective

  • Sven J. Dickinson
  • Zygmunt Pizlo

Part of the Advances in Computer Vision and Pattern Recognition book series (ACVPR)

Table of contents

  1. Front Matter
    Pages I-XVII
  2. Sven J. Dickinson, Alex Levinshtein, Pablo Sala, Cristian Sminchisescu
    Pages 1-19
  3. Yunfeng Li, Tadamasa Sawada, Yun Shi, Robert M. Steinman, Zygmunt Pizlo
    Pages 21-40
  4. Morteza Rezanejad, Kaleem Siddiqi
    Pages 41-54
  5. Jacob Feldman, Manish Singh, Erica Briscoe, Vicky Froyen, Seha Kim, John Wilder
    Pages 55-70
  6. James H. Elder
    Pages 71-83
  7. Daniel Cremers
    Pages 103-117
  8. Andrew J. Schofield, Peng Sun, Giacomo Mazzilli
    Pages 119-132
  9. David Jacobs, Anne Jorstad, Alain Trouvé
    Pages 133-144
  10. Jan Koenderink, Andrea van Doorn
    Pages 145-156
  11. Manish Singh, Donald D. Hoffman
    Pages 171-185
  12. Ian H. Jermyn
    Pages 187-199
  13. Andrew Glennerster
    Pages 201-212
  14. Jingyong Su, Sebastian Kurtek, Anuj Srivastava
    Pages 213-224
  15. Wenze Hu, Zhangzhang Si, Song-Chun Zhu
    Pages 237-248
  16. Ira Kemelmacher-Shlizerman, Ronen Basri, Boaz Nadler
    Pages 275-284
  17. Pedro F. Felzenszwalb
    Pages 299-310
  18. Qasim Zaidi, Andrea Li, Carson Wong, Elias H. Cohen, Xin Meng
    Pages 311-338
  19. Christopher W. Tyler
    Pages 357-372
  20. Björn Ommer
    Pages 373-385
  21. Irving Biederman
    Pages 387-397
  22. Sinisa Todorovic, Nadia Payet
    Pages 399-412
  23. Antonio J. Rodríguez-Sánchez, Gregory L. Dudek, John K. Tsotsos
    Pages 429-442
  24. Mary A. Peterson, Laura Cacciamani
    Pages 443-457
  25. Chaohui Wang, Yun Zeng, Dimitris Samaras, Nikos Paragios
    Pages 459-471
  26. Christian Wallraven
    Pages 473-483
  27. Edward Hsiao, Martial Hebert
    Pages 485-495
  28. Back Matter
    Pages 497-502

About this book

Introduction

Shape perception has always been important in vision research, yet it is now attracting more interest than ever before, fueling the need for an interdisciplinary approach that bridges the fields of computer vision and human vision.

This comprehensive and authoritative text/reference presents a unique, multidisciplinary perspective on Shape Perception in Human and Computer Vision. Rather than focusing purely on the state of the art, the book provides viewpoints from world-class researchers reflecting broadly on the issues that have shaped the field. Drawing upon many years of experience, each contributor discusses the trends followed and the progress made, in addition to identifying the major challenges that still lie ahead.

Topics and features:

  • Presents 33 contributions from an international selection of pre-eminent researchers from both the computer vision and human vision communities
  • Examines each topic from a range of viewpoints, rather than promoting a specific paradigm
  • Discusses topics on contours, shape hierarchies, shape grammars, shape priors, and 3D shape inference
  • Reviews issues relating to surfaces, invariants, parts, multiple views, learning, simplicity, shape constancy and shape illusions
  • Addresses concepts from the historically separate disciplines of computer vision and human vision using the same “language” and methods

This interdisciplinary collection is essential reading for students and researchers seeking to understand the broader landscape of the problem in order to build their expertise on a firm foundation.

Dr. Sven Dickinson is Professor and Chair of the Department of Computer Science at the University of Toronto, Canada. Dr. Zygmunt Pizlo is Professor of Mathematical/Computational Cognitive Science in the Department of Psychological Sciences at Purdue University, USA.

Keywords

Computer Vision Human Vision Object Recognition Shape Perception

Editors and affiliations

  • Sven J. Dickinson
    • 1
  • Zygmunt Pizlo
    • 2
  1. 1.Department of Computer ScienceUniversity of TorontoTorontoCanada
  2. 2.Department of Psychological SciencesPurdue UniversityWest LafayetteUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4471-5195-1
  • Copyright Information Springer-Verlag London 2013
  • Publisher Name Springer, London
  • eBook Packages Computer Science
  • Print ISBN 978-1-4471-5194-4
  • Online ISBN 978-1-4471-5195-1
  • Series Print ISSN 2191-6586
  • Series Online ISSN 2191-6594
  • Buy this book on publisher's site
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