Multiple View Geometry in Computer Vision

Andrew Zisserman, Richard Hartley

ISBN 10: 0521540518 / ISBN 13: 9780521540513

Published by Cambridge University Press, GB, 2004

About this Item

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.

Seller Inventory # LU-9780521540513

Bibliographic Details

• Title: Multiple View Geometry in Computer Vision
• Publisher: Cambridge University Press, GB
• Publication Date: 2004
• Language: English
• ISBN 10: 0521540518
• ISBN 13: 9780521540513
• Binding: Paperback
• Edition: 2nd Edition
• Condition: New
• Weight: 1465 grams

About this title

Synopsis

A basic problem in computer vision is to understand the structure of a real world scene. This book covers relevant geometric principles and how to represent objects algebraically so they can be computed and applied. Recent major developments in the theory and practice of scene reconstruction are described in detail in a unified framework. Richard Hartley and Andrew Zisserman provide comprehensive background material and explain how to apply the methods and implement the algorithms. First Edition HB (2000): 0-521-62304-9

Book Description

A basic problem in computer vision is to understand the structure of a real world scene given several images of it. Recent major developments in the theory and practice of scene reconstruction are described in detail in a unified framework. The book covers the geometric principles and how to represent objects algebraically so they can be computed and applied. The authors provide comprehensive background material and explain how to apply the methods and implement the algorithms directly.