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Multiple View Geometry in Computer Vision
monograph
Author(s):
Richard Hartley
,
Andrew Zisserman
Publication date
(Online):
2009
Publisher:
Cambridge University Press
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Music and Mental Imagery
Author and book information
Book
ISBN:
9780511811685
Publication date (Print):
2004
Publication date (Online):
2009
DOI:
10.1017/CBO9780511811685
SO-VID:
d054770c-668e-404a-ae14-fab3a5c97f2a
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Book chapters
pp. xi
Foreword
pp. xiii
Preface
pp. 1
Introduction – a Tour of Multiple View Geometry
pp. 23
The Background: Projective Geometry, Transformations and Estimation
pp. 25
Projective Geometry and Transformations of 2D
pp. 65
Projective Geometry and Transformations of 3D
pp. 87
Estimation – 2D Projective Transformations
pp. 132
Algorithm Evaluation and Error Analysis
pp. 151
Camera Geometry and Single View Geometry
pp. 153
Camera Models
pp. 178
Computation of the Camera Matrix P
pp. 195
More Single View Geometry
pp. 237
Two-View Geometry
pp. 239
Epipolar Geometry and the Fundamental Matrix
pp. 262
3D Reconstruction of Cameras and Structure
pp. 279
Computation of the Fundamental Matrix F
pp. 310
Structure Computation
pp. 325
Scene planes and homographies
pp. 344
Affine Epipolar Geometry
pp. 363
Three-View Geometry
pp. 365
The Trifocal Tensor
pp. 391
Computation of the Trifocal Tensor T
pp. 409
N-View Geometry
pp. 411
N-Linearities and Multiple View Tensors
pp. 434
N-View Computational Methods
pp. 458
Auto-Calibration
pp. 502
Duality
pp. 515
Cheirality
pp. 533
Degenerate Configurations
pp. 562
Tensor Notation
pp. 565
Gaussian (Normal) and χ2 Distributions
pp. 568
Parameter Estimation
pp. 578
Matrix Properties and Decompositions
pp. 588
Least-squares Minimization
pp. 597
Iterative Estimation Methods
pp. 628
Some Special Plane Projective Transformations
pp. 634
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