Multiple view geometry in computer vision / Richard Hartley, Andrew Zisserman.
2004
TA1634 .H38 2003
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Details
Title
Multiple view geometry in computer vision / Richard Hartley, Andrew Zisserman.
Author
Edition
Second edition.
ISBN
9780511187117 (electronic bk.)
0511187114 (electronic bk.)
9780511186189 (electronic bk. ; Adobe Reader)
0511186185 (electronic bk. ; Adobe Reader)
9780511188954 (electronic bk. ; Adobe Reader)
0511188951 (electronic bk. ; Adobe Reader)
9780511185359 (electronic bk.)
0511185359 (electronic bk.)
9780511184512 (electronic bk.)
0511184514 (electronic bk.)
9780511811685 (electronic bk.)
0511811683 (electronic bk.)
9781280458125
1280458127
9780521540513 (paperback)
0521540518 (paperback)
0511187114 (electronic bk.)
9780511186189 (electronic bk. ; Adobe Reader)
0511186185 (electronic bk. ; Adobe Reader)
9780511188954 (electronic bk. ; Adobe Reader)
0511188951 (electronic bk. ; Adobe Reader)
9780511185359 (electronic bk.)
0511185359 (electronic bk.)
9780511184512 (electronic bk.)
0511184514 (electronic bk.)
9780511811685 (electronic bk.)
0511811683 (electronic bk.)
9781280458125
1280458127
9780521540513 (paperback)
0521540518 (paperback)
Published
Cambridge, UK ; New York : Cambridge University Press, 2004.
Copyright
©2003
Language
English
Description
1 online resource (xvi, 655 pages) : illustrations (some color)
Call Number
TA1634 .H38 2003
System Control No.
(OCoLC)171123855
Summary
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.-- Provided by publisher.
Bibliography, etc. Note
Includes bibliographical references (pages 634-645) and index.
Formatted Contents Note
Introduction-a tour of multiple view geometry
Projective geometry and transformations of 2D
Projective geometry and transformations of 3D
Estimation-2D projective transformations
Algorithm evaluation and error analysis
Camera models
Computation of the camera matrix P
More single view geometry
Epipolar geometry and the fundamental matrix
3D reconstruction of cameras and structure
Computation of the fundamental matrix F
Structure computation
Scene planes and homographies
Affine epipolar geometry
The trifocal tensor
Computation of the trifocal tensor T
N-Linearities and multiple view tensors
N-View computational methods
Auto-calibration
Duality
Cheirality
Degenerate configurations.
Projective geometry and transformations of 2D
Projective geometry and transformations of 3D
Estimation-2D projective transformations
Algorithm evaluation and error analysis
Camera models
Computation of the camera matrix P
More single view geometry
Epipolar geometry and the fundamental matrix
3D reconstruction of cameras and structure
Computation of the fundamental matrix F
Structure computation
Scene planes and homographies
Affine epipolar geometry
The trifocal tensor
Computation of the trifocal tensor T
N-Linearities and multiple view tensors
N-View computational methods
Auto-calibration
Duality
Cheirality
Degenerate configurations.
Digital File Characteristics
data file
Source of Description
Print version record.
Added Author
Available in Other Form
Print version: Hartley, Richard. Multiple view geometry in computer vision. 2nd ed. Cambridge, UK ; New York : Cambridge University Press, 2003
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