Understanding Vision: Theory, Models, and Data
Author:   Li Zhaoping (Professor, Professor, Department of Computer Science, University College London, UK)
Publisher:   Oxford University Press
ISBN:  

9780199564668


Pages:   396
Publication Date:   08 May 2014
Format:   Hardback
Availability:   To order   Availability explained
Stock availability from the supplier is unknown. We will order it for you and ship this item to you once it is received by us.

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Understanding Vision: Theory, Models, and Data


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Full Product Details

Author:   Li Zhaoping (Professor, Professor, Department of Computer Science, University College London, UK)
Publisher:   Oxford University Press
Imprint:   Oxford University Press
Dimensions:   Width: 17.60cm , Height: 2.70cm , Length: 25.30cm
Weight:   0.938kg
ISBN:  

9780199564668


ISBN 10:   0199564663
Pages:   396
Publication Date:   08 May 2014
Audience:   College/higher education ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   To order   Availability explained
Stock availability from the supplier is unknown. We will order it for you and ship this item to you once it is received by us.

Table of Contents

1: Approach and Scope 2: A Very Brief Introduction of What is Known about Vision Experimentally 3: The Efficient Coding Principle 4: V1 and Information Coding 5: The V1 Hypothesis - creating a bottom up saliency map for preattentive selection and segmentation 6: Visual Recognition as Decoding 7: Epilogue

Reviews

[This book] demonstrates a beautifully logical approach that has been the hallmark of Zhaopings career and which more is needed of to carry the field forward. The preciseness of the mathematics avoids the confusion often entailed when talking about perception, and it is a great example of how models can provide clear insight into a complex biological system. Szonya Durant, Perception


Author Information

Li Zhaoping obtained her Ph.D. in physics in 1989 from the California Institute of Technology. In 1998, she helped to found the Gatsby Computational Neuroscience Unit in University College London, where she is currently a professor in Computational Neuroscience in its computer science department.

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