Multiple View Geometry in Computer Vision

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Paperback | 29 June 2004 | Edition Number 2

At a Glance

Paperback
672 Pages

Edition Type
Revised

Dimensions(cm)
24.41 x 16.99 x 3.43

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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.

Industry Reviews

'I am very positive about this book. The authors have succeeded very well in describing the main techniques in mainstream multiple view geometry, both classical and modern, in a clear and consistent way.' Computing Reviews '... a book which is timely, extremely thorough and commendably clear ... Overall, the approach is masterly ... The authors have managed to present the very essence of the subject in a way which the most subtle ideas seem natural and straightforward. I have never seen such a clear exploration of the geometry of vision. I would wholeheartedly recommend this book. It deserves to be in the library of every serious researcher in the field of computer vision.' Journal of Robotica 'The new edition features an extended introduction covering the key ideas in the book (which itself have 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.' Zentralblatt MATH

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You Can Find This Book In

Non-Fiction Computing & I.T.Computer Science Artificial Intelligence Computer Vision Mathematics Applied Mathematics Geometry Engineering & Technology Electronics & Communications Engineering Electronics Engineering Automatic Control Engineering

Robotics Graphical & Digital Media Applications

Introduction
The Background: Projective Geometry, Transformations and Estimation
Outline of Part I
Projective geometry and transformations of 2D
Projective geometry and transformations of 3D
Estimation - 2D projective transforms
Camera Geometry and Single View Geometry
Outline of Part II
Camera models
Camera calibration
More single view geometry
Two View Geometry
Outline of Part III
Epipolar geometry and the fundamental matrix
3D reconstruction and structure computations
Computation of F
Structure computation
The case of planes
Affine epipolar geometry
Three View Geometry
Outline of Part IV
The trifocal tensor
Computation of T
N View Geometry
Outline of Part V
N-linearities
Computation of the quadrifocal tensor
N-view computational methods
Chirality
Degenerate configurations
Auto-calibration
Image rectification
Useful formulas
Tensor notation
Gaussian (normal) and chi-squared distributions
Numerical algorithms
Bibliography
Index
Table of Contents provided by Publisher. All Rights Reserved.

Multiple View Geometry in Computer Vision

At a Glance

Paperback

Industry Reviews

Shipping

How to return your order

Defective items

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