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

(editor), (editor)
£104.00
Hardback 502 Pages / Published: 10/07/2013
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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.

Publisher: Springer London Ltd
ISBN: 9781447151944
Number of pages: 502
Weight: 9927 g
Dimensions: 235 x 155 x 33 mm
Edition: 2013 ed.


MEDIA 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)

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