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Shape Perception in Human and Computer Vision

An Interdisciplinary Perspective

  • Book
  • © 2013

Overview

Editors:
  1. Sven J. Dickinson

    1. Department of Computer Science, University of Toronto, Toronto, Canada

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    You can also search for this editor in PubMed   Google Scholar

  2. Zygmunt Pizlo

    1. Department of Psychological Sciences, Purdue University, West Lafayette, USA

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • The first volume of its kind, covering this important topic from both human and computer vision perspectives
  • Includes contributions from the most preeminent authorities in human and computer vision
  • Though highly interdisciplinary, all contributions share a common “language” of computational models and methods
  • Includes supplementary material: sn.pub/extras

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

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Table of contents (33 chapters)

  1. Front Matter

    Pages I-XVII
    Download chapter PDF

  2. The Role of Mid-Level Shape Priors in Perceptual Grouping and Image Abstraction

    • Sven J. Dickinson, Alex Levinshtein, Pablo Sala, Cristian Sminchisescu
    Pages 1-19

  3. Symmetry Is the sine qua non of Shape

    • Yunfeng Li, Tadamasa Sawada, Yun Shi, Robert M. Steinman, Zygmunt Pizlo
    Pages 21-40

  4. Flux Graphs for 2D Shape Analysis

    • Morteza Rezanejad, Kaleem Siddiqi
    Pages 41-54

  5. An Integrated Bayesian Approach to Shape Representation and Perceptual Organization

    • Jacob Feldman, Manish Singh, Erica Briscoe, Vicky Froyen, Seha Kim, John Wilder
    Pages 55-70

  6. Perceptual Organization of Shape

    • James H. Elder
    Pages 71-83

  7. Two-Dimensional Shape as a Mid-Level Vision Gestalt

    • Johan Wagemans
    Pages 85-101

  8. Shape Priors for Image Segmentation

    • Daniel Cremers
    Pages 103-117

  9. Observations on Shape-from-Shading in Humans

    • Andrew J. Schofield, Peng Sun, Giacomo Mazzilli
    Pages 119-132

  10. Deformations and Lighting

    • David Jacobs, Anne Jorstad, Alain Trouvé
    Pages 133-144

  11. The Shape of Space

    • Jan Koenderink, Andrea van Doorn
    Pages 145-156

  12. The Visual Hierarchy Mirage: Seeing Trees in a Graph

    • Steven W. Zucker
    Pages 157-170

  13. Natural Selection and Shape Perception

    • Manish Singh, Donald D. Hoffman
    Pages 171-185

  14. Shape as an Emergent Property

    • Ian H. Jermyn
    Pages 187-199

  15. Representing 3D Shape and Location

    • Andrew Glennerster
    Pages 201-212

  16. Joint Registration and Shape Analysis of Curves and Surfaces

    • Jingyong Su, Sebastian Kurtek, Anuj Srivastava
    Pages 213-224

  17. The Statistics of Shape, Reflectance, and Lighting in Real-World Scenes

    • Richard F. Murray
    Pages 225-235

  18. Structure vs. Appearance and 3D vs. 2D? A Numeric Answer

    • Wenze Hu, Zhangzhang Si, Song-Chun Zhu
    Pages 237-248

  19. Challenges in Understanding Visual Shape Perception and Representation: Bridging Subsymbolic and Symbolic Coding

    • Philip J. Kellman, Patrick Garrigan, Gennady Erlikhman
    Pages 249-274

  20. 3D Face Reconstruction from Single Two-Tone and Color Images

    • Ira Kemelmacher-Shlizerman, Ronen Basri, Boaz Nadler
    Pages 275-284
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Keywords

About this book

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: 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.

Reviews

From the book reviews:

“Reading Dickinson and Pizlo’s compilations is both enjoyable and educational, due to the wide collection of contributions in a single volume. The book successfully addresses the balance between asking difficult questions, arguing certain answers and providing clues for future directions. … A recommended book to interested researchers working towards shape-based approaches to visua perception.” (Dima Damen, IAPR newsletter, Vol. 36 (3), July, 2014)

Editors and Affiliations

  • Department of Computer Science, University of Toronto, Toronto, Canada

    Sven J. Dickinson

  • Department of Psychological Sciences, Purdue University, West Lafayette, USA

    Zygmunt Pizlo

Bibliographic Information

  • Book Title: Shape Perception in Human and Computer Vision

  • Book Subtitle: An Interdisciplinary Perspective

  • Editors: Sven J. Dickinson, Zygmunt Pizlo

  • Series Title: Advances in Computer Vision and Pattern Recognition

  • DOI: https://doi.org/10.1007/978-1-4471-5195-1

  • Publisher: Springer London

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer-Verlag London 2013

  • Hardcover ISBN: 978-1-4471-5194-4Published: 10 July 2013

  • Softcover ISBN: 978-1-4471-6168-4Published: 09 August 2015

  • eBook ISBN: 978-1-4471-5195-1Published: 29 June 2013

  • Series ISSN: 2191-6586

  • Series E-ISSN: 2191-6594

  • Edition Number: 1

  • Number of Pages: XVII, 502

  • Topics: Image Processing and Computer Vision, Pattern Recognition

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