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Multiple View Geometry in Computer Vision

By: Contributor(s): Material type: TextTextPublication details: Cambridge University Press U. K. 2003Edition: 2nd edDescription: 655pISBN:
  • 9780521540513
Subject(s): DDC classification:
  • 006.37 HAR
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Item type Current library Item location Collection Call number Status Date due Barcode Item holds
Reference Book Reference Book NIMA Knowledge Centre 7th Floor Silence Zone Reference 006.37 HAR (Browse shelf(Opens below)) Not For Loan T0050582
Total holds: 0

Introduction - a tour of multiple view geometry
Part 0. The Background: Projective Geometry, Transformations and Estimation:
Projective geometry and transformations of 2D
Projective geometry and transformations of 3D
Estimation - 2D projective transforms
Algorithm evaluation and error analysis
Part 1. Camera Geometry and Single View Geometry:
Camera models
Computation of the camera matrix
More single view geometry
Part 2. Two-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
Three-View Geometry:
The trifocal tensor
Computation of the trifocal tensor T
N -View Geometry:
N-linearities and multiple view tensors
N-view computational methods
Auto-calibration
Duality
Chirality
Degenerate configurations
Appendices:
Appendix 1 - Tensor Notation
Appendix 2 - Gaussian (Normal) and χ2 Distributions
Appendix 3 - Parameter Estimation
Appendix 4 - Matrix Properties and Decompositions
Appendix 5 - Least-squares Minimization
Appendix 6 - Iterative Estimation Methods
Appendix 7 - Some Special Plane Projective Transformations

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