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Multiple view geometry in computer vision

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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

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Detail Information

Series Title

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Call Number

006.37 SZE c

Publisher

Cambridge : Cambridge University Press., 2003

Collation

xvi, 655 p. : ill. (some col.) ; 25 cm.

Language

English

ISBN/ISSN

9780521540513

Classification

006.37

Content Type

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Media Type

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Carrier Type

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Edition

2nd ed.

Subject(s)

Computer vision
Geometry, Projective

Specific Detail Info

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Statement of Responsibility

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