Shape Perception in Human and Computer Vision

An Interdisciplinary Perspective

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Éditeur :

Springer


Collection :

Advances in Computer Vision and Pattern Recognition

Paru le : 2013-06-29



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Description
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.
Pages
502 pages
Collection
Advances in Computer Vision and Pattern Recognition
Parution
2013-06-29
Marque
Springer
EAN papier
9781447151944
EAN EPUB
9781447151951

Informations sur l'ebook
Nombre pages copiables
5
Nombre pages imprimables
50
Taille du fichier
8335 Ko
Prix
94,94 €