Multiple View Geometry in Computer Vision
Material type:
- 9780521540513
- 006.37 HAR
Item type | Current library | Item location | Collection | Call number | Status | Date due | Barcode | Item holds | |
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NIMA Knowledge Centre | 7th Floor Silence Zone | Reference | 006.37 HAR (Browse shelf(Opens below)) | Not For Loan | T0050582 |
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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