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Understanding vision : theory, models, and data

Author: Zhaoping Li
Publisher: Oxford, United Kingdom : Oxford University Press, 2014.
Edition/Format:   Print book : English : First editionView all editions and formats
Summary:
Understanding Vision explains the computational principles and models of biological visual processing, and in particular, of primate vision.
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Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Zhaoping Li
ISBN: 9780199564668 0199564663
OCLC Number: 879603617
Description: xi, 383 pages : illustrations (some color) ; 25 cm
Contents: Approach and scope --
A very brief introduction of what is known about vision experimentality --
The efficient coding principle --
V1 and information coding --
The V1 hypothesis : creating a bottom-up saliency map for preattentive selection and segmentation --
Visual recognition as decoding --
Epilogue.
Responsibility: Li Zhaoping.
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Vision science has grown hugely in the past decades, but there have been few books showing readers how to adopt a computional approach to understanding visual perception, along with the underlying  Read more...

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[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 Read more...

 
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