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Dense Image Correspondences for Computer Vision on Hardback
Dense Image Correspondences for Computer Vision on Hardback
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Dense Image Correspondences for Computer Vision

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Description

This book describes the fundamental building-block of many new computer vision systems: dense and robust correspondence estimation. Dense correspondence estimation techniques are now successfully being used to solve a wide range of computer vision problems, very different from the traditional applications such techniques were originally developed to solve. This book introduces the techniques used for establishing correspondences between challenging image pairs, the novel features used to make these techniques robust, and the many problems dense correspondences are now being used to solve. The book provides information to anyone attempting to utilize dense correspondences in order to solve new or existing computer vision problems. The editors describe how to solve many computer vision problems by using dense correspondence estimation. Finally, it surveys resources, code and data, necessary for expediting the development of effective correspondence-based computer vision systems.

Author Biography:

Prof. Tal Hassner is a faculty member of the Department of Mathematics and Computer Science, The Open University of Israel, Israel. Ce Liu is a Researcher with Google.
Release date Australia
December 2nd, 2015
Audience
  • Professional & Vocational
Contributors
  • Edited by Ce Liu
  • Edited by Tal Hassner
Edition
1st ed. 2016
Illustrations
20 Tables, black and white; 146 Illustrations, color; 6 Illustrations, black and white; XII, 295 p. 152 illus., 146 illus. in color.
Pages
295
Dimensions
155x235x19
ISBN-13
9783319230474
Product ID
23156047

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