Shape Perception in Human and Computer Vision: An Interdisciplinary Perspective (Advances in Computer Vision and Pattern Recognition) - Hardcover

Hardcover

ISBN 10: 1447151941 ISBN 13: 9781447151944

Publisher: Springer, 2013

Synopsis

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.

About this title

From the Back Cover

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.

Review

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)

Edition details

• Publisher: Springer
• Publication date: 2013
• ISBN 10: 1447151941
• ISBN 13: 9781447151944
• Binding: Hardcover
• Language: English
• Number of pages: 519
• Editor: Dickinson Sven J., Pizlo Zygmunt