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  • Jul 2024

Fast Algorithms for Stereo Matching

Authors:

  • Author hosts Fast Stereo Matching Demo website
  • Author is widely-published leader in the field

About this book

Computer vision problems are much larger than ever before. One way to satisfy demand is to design more efficient and clever algorithms that optimize computations in an existing processor. Such fast algorithms are becoming increasingly important for tele-reality, interactive media and visual serving applications. This book presents fast and reliable algorithms for dense stereo matching – for every point on the image – and optical-flow estimations using a general language, such as C, rather than dedicated hardware implementation.

Techniques described are: fast algorithms for similarity measure, use of subregioning technique to expedite similarity calculation, multiresolution scheme, fast 3-D surface technique for stereo matching, and stereo matching using warping. Fast Algorithms for Stereo Matching is a useful reference for academics, professionals, researchers, practitioners, and advanced graduate students in the areas of computer vision, digital photogrammetry, and 3-D video coding.

Keywords

  • Algorithms
  • Stereo Matching
  • Sun

Authors and Affiliations

  • CSIRO Mathematical & Information Sciences, North Ryde, Australia

    Changming Sun

Bibliographic Information

  • Book Title: Fast Algorithms for Stereo Matching

  • Authors: Changming Sun

  • Publisher: Springer New York, NY

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer Science+Business Media, LLC, part of Springer Nature 2024

  • Hardcover ISBN: 978-0-387-95424-0Due: 14 August 2024

  • eBook ISBN: 978-0-387-68394-2Due: 14 August 2024

  • Edition Number: 1

  • Number of Illustrations: 70 b/w illustrations