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Dense Image Correspondences for Computer Vision

Editors: Hassner, Tal, Liu, Ce (Eds.)

  • Provides in-depth coverage of dense-correspondence estimation
  • Covers both the breadth and depth of new achievements in dense correspondence estimation and their applications
  • Includes information for designing computer vision systems which rely on efficient and robust correspondence estimation
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eBook 74,96 €
price for Spain (gross)
  • ISBN 978-3-319-23048-1
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 93,59 €
price for Spain (gross)
  • ISBN 978-3-319-23047-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
About this book

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.

About the authors

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.

Table of contents (12 chapters)

  • Introduction to Dense Optical Flow

    Liu, Ce

    Pages 3-14

    Preview Buy Chapter 30,19 €
  • SIFT Flow: Dense Correspondence Across Scenes and Its Applications

    Liu, Ce (et al.)

    Pages 15-49

    Preview Buy Chapter 30,19 €
  • Dense, Scale-Less Descriptors

    Hassner, Tal (et al.)

    Pages 51-70

    Preview Buy Chapter 30,19 €
  • Scale-Space SIFT Flow

    Qiu, Weichao (et al.)

    Pages 71-82

    Preview Buy Chapter 30,19 €
  • Dense Segmentation-Aware Descriptors

    Trulls, Eduard (et al.)

    Pages 83-107

    Preview Buy Chapter 30,19 €

Buy this book

eBook 74,96 €
price for Spain (gross)
  • ISBN 978-3-319-23048-1
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 93,59 €
price for Spain (gross)
  • ISBN 978-3-319-23047-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Dense Image Correspondences for Computer Vision
Editors
  • Tal Hassner
  • Ce Liu
Copyright
2016
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing Switzerland
eBook ISBN
978-3-319-23048-1
DOI
10.1007/978-3-319-23048-1
Hardcover ISBN
978-3-319-23047-4
Edition Number
1
Number of Pages
XII, 295
Number of Illustrations and Tables
6 b/w illustrations, 146 illustrations in colour
Topics