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Video Registration

  • Mubarak Shah
  • Rakesh Kumar

Part of the The International Series in Video Computing book series (VICO, volume 5)

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Mubarak Shah, Rakesh Kumar
    Pages 1-17
  3. Andrew W. Fitzgibbon, Andrew Zisserman
    Pages 18-35
  4. Hassan Foroosh, W. Scott Hoge
    Pages 36-71
  5. Zhigang Zhu, Allen R. Hanson, Howard Schultz, Edward M. Riseman
    Pages 72-105
  6. Chandra Shekhar, Rama Chellappa
    Pages 130-143
  7. Y. Sheikh, S. Khan, M. Shah, Richard Cannata
    Pages 144-179
  8. B. Matei, R. P. Wildes, S. Hsu, R. Kumar, S. Samarasekera, H. S. Sawhney et al.
    Pages 180-221
  9. Back Matter
    Pages 256-257

About this book

Introduction

Traditionally, scientific fields have defined boundaries, and scientists work on research problems within those boundaries. However, from time to time those boundaries get shifted or blurred to evolve new fields. For instance, the original goal of computer vision was to understand a single image of a scene, by identifying objects, their structure, and spatial arrangements. This has been referred to as image understanding. Recently, computer vision has gradually been making the transition away from understanding single images to analyz­ ing image sequences, or video understanding. Video understanding deals with understanding of video sequences, e. g. , recognition of gestures, activities, fa­ cial expressions, etc. The main shift in the classic paradigm has been from the recognition of static objects in the scene to motion-based recognition of actions and events. Video understanding has overlapping research problems with other fields, therefore blurring the fixed boundaries. Computer graphics, image processing, and video databases have obvious overlap with computer vision. The main goal of computer graphics is to gener­ ate and animate realistic looking images, and videos. Researchers in computer graphics are increasingly employing techniques from computer vision to gener­ ate the synthetic imagery. A good example of this is image-based rendering and modeling techniques, in which geometry, appearance, and lighting is de­ rived from real images using computer vision techniques. Here the shift is from synthesis to analysis followed by synthesis.

Keywords

DOM Stereo communication image processing information multimedia robotics video

Editors and affiliations

  • Mubarak Shah
    • 1
  • Rakesh Kumar
    • 2
  1. 1.Department of Computer ScienceUniversity of Central FloridaOrlandoUSA
  2. 2.Sarnoff Corporation CN5300PrincetonUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4615-0459-7
  • Copyright Information Kluwer Academic Publishers 2003
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4613-5087-3
  • Online ISBN 978-1-4615-0459-7
  • Series Print ISSN 1571-5205
  • Buy this book on publisher's site