Multiple View Geometry in Computer Vision by Andrew Zisserman and Richard Hartley (2000, Hardcover)

Cambridge University Press

0521623049

9780521623049

1029192

624 Pages

English

Multiple View Geometry in Computer Vision

2000

Computer Graphics, Geometry / General

Textbook

Computers, Mathematics

Andrew Zisserman, Richard Hartley

Hardcover

1.4 in

50 Oz

10.1 in

7.2 in

00-023614

22

Scholarly & Professional

Yes

006.3/7

Ta1634 .H38 2000

Introduction; Part I. The Background: Projective Geometry, Transformations and Estimation: 1. Outline of Part I; 2. Projective geometry and transformations of 2D; 3. Projective geometry and transformations of 3D; 4. Estimation - 2D projective transforms; Part II. Camera Geometry and Single View Geometry: 6. Outline of Part II; 6. Camera models; 7. Camera calibration; 8. More single view geometry; Part III. Two View Geometry: 9. Outline of Part III; 10. Epipolar geometry and the fundamental matrix; 11. 3D reconstruction and structure computations; 12. Computation of F; 13. Structure computation; 14. The case of planes; 15. Affine epipolar geometry; Part IV. Three View Geometry: 16. Outline of Part IV; 17. The trifocal tensor; 18. Computation of T; Part V. N View Geometry: 19. Outline of Part V; 20. N-linearities; 21. Computation of the quadrifocal tensor; 22. N-view computational methods; 23. Chirality; 24. Degenerate configurations; 25. Auto-calibration; 26. Image rectification; Appendix 1. Useful formulas; Appendix 2. Tensor notation; Appendix 3. Gaussian (normal) and chi-squared distributions; Appendix 4. Numerical algorithms; Bibliography; Index.

2000