Shape perception in human and computer vision : an interdisciplinary perspective /
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Imprint: | London ; New York : Springer, c2013. |
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Description: | 1 online resource. |
Language: | English |
Series: | Advances in computer vision and pattern recognition, 2191-6586 Advances in Computer Vision and Pattern Recognition. |
Subject: | |
Format: | E-Resource Book |
URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/9851886 |
Summary: | 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. |
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Item Description: | Includes index. |
Physical Description: | 1 online resource. |
ISBN: | 9781447151951 144715195X 9781447151944 |
ISSN: | 2191-6586 |