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Multiple View Geometry in computer vision

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Multiple View Geometry in computer vision

Multiple View Geometry in computer vision

656 pages, parution le 13/04/2004

Résumé

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 results which have appeared since the first edition. Comprehensive background material is provided, so readers familiar with linear algebra and basic numerical methods can understand the projective geometry and estimation algorithms presented, and implement the algorithms directly from the book.

Sommaire

  • The background: projective Geometry, Transformations and estimation
  • Camera Geometry and single view geometry
  • Two-view geometry
  • Three-view geometry
  • N-view geometry
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Caractéristiques techniques du livre "Multiple View Geometry in computer vision"

  PAPIER
Éditeur(s) Cambridge University Press
Auteur(s) Richard Hartley, Andrew Zisserman
Parution 13/04/2004
Nb. de pages 656
Format 17,3 x 24,6
Couverture Broché
Poids 1452g
Intérieur Noir et Blanc
EAN13 9780521540513
ISBN13 978-0-521-54051-3
Sélection de Noël

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