Multiple View Geometry in Computer Vision

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9780521623049: Multiple View Geometry in Computer Vision

A basic problem in computer vision is to understand the structure of a real world scene given several images of it. Techniques used in the book for solving this are taken from projective geometry and photogrammetry. 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. Recent major developments in the theory and practice of scene reconstruction are described in detail in a unified framework. The authors provide comprehensive background material, so a reader familiar with linear algebra and basic numerical methods will be able to understand the projective geometry and estimation algorithms presented, and implement the algorithms directly from the book.

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Book Description:

Recent developments in the theory and practice of scene reconstruction are described in detail in a unified framework. The distinctive flavour is that the approach is uncalibrated. Geometric principles and their algebraic representation are covered, enabling readers to understand the projective geometry and estimation algorithms presented, and implement them directly.

About the Author:

Hartley-General Electric, Schenectady

Andrew Zisserman is a Science and Engineering Research Council (SERC) Research Fellow in the Department of Computer Science at the University of Edinburgh.

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Richard Hartley, Andrew Zisserman
Editorial: Cambridge University Press (2000)
ISBN 10: 0521623049 ISBN 13: 9780521623049
Nuevos Tapa dura Cantidad: 1
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(RICHMOND, TX, Estados Unidos de America)
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Descripción Cambridge University Press, 2000. Hardcover. Estado de conservación: New. Nº de ref. de la librería DADAX0521623049

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