Multiple View Geometry in computer vision

Richard Hartley, Andrew Zisserman

656 pages, parution le 13/04/2004

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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

	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