bookCambridge University Press eBooksMar 25, 2004Closed access

Multiple View Geometry in Computer Vision

Australian National University · University of Oxford

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Abstract

A basic problem in computer vision is to understand the structure of a real world scene given several images of it. Techniques for solving this problem are taken from projective geometry and photogrammetry. Here, the authors cover the geometric principles and their algebraic representation in terms of camera projection matrices, the fundamental matrix and the trifocal tensor. The theory and methods of computation of these entities are discussed with real examples, as is their use in the reconstruction of scenes from multiple images. The new edition features an extended introduction covering the key ideas in the book (which itself has been updated with additional examples and appendices) and significant new…

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Authors

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Topics & keywords

Keywords
  • Fundamental matrix (linear differential equation)
  • Photogrammetry
  • Projective geometry
  • Computer science
  • Epipolar geometry
  • Projection (relational algebra)
  • Orthographic projection
  • Computation
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