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Multiple view geometry in computer vision

Author: Richard Hartley; Andrew Zisserman
Publisher: Cambridge, U.K. : Cambridge University Press, 2003.
Edition/Format:   Print book : English : 2nd edView all editions and formats
Summary:

How to reconstruct scenes from images using geometry and algebra, with applications to computer vision.

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Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Richard Hartley; Andrew Zisserman
ISBN: 0521540518 9780521540513
OCLC Number: 288958785
Description: xvi, 655 p. : ill. (certaines en coul.) ; 25 cm
Contents: 1. Introduction - a tour of multiple view geometry; Part 0. The Background: Projective Geometry, Transformations and Estimation: 2. Projective geometry and transformations of 2D; 3. Projective geometry and transformations of 3D; 4. Estimation - 2D projective transforms; 5. Algorithm evaluation and error analysis; Part I. Camera Geometry and Single View Geometry: 6. Camera models; 7. Computation of the camera matrix; 8. More single view geometry; Part II. Two-View Geometry: 9. Epipolar geometry and the fundamental matrix; 10. 3D reconstruction of cameras and structure; 11. Computation of the fundamental matrix F; 12. Structure computation; 13. Scene planes and homographies; 14. Affine epipolar geometry; Part III. Three-View Geometry: 15. The trifocal tensor; 16. Computation of the trifocal tensor T; Part IV. N -View Geometry: 17. N-linearities and multiple view tensors; 18. N-view computational methods; 19. Auto-calibration; 20. Duality; 21. Chirality; 22. Degenerate configurations; Part V. Appendices: Appendix 1. Tensor notation; Appendix 2. Gaussian (normal) and chi-squared 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; Bibliography; Index.
Responsibility: Richard Hartley, Andrew Zisserman.

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'I am very positive about this book. The authors have succeeded very well in describing the main techniques in mainstream multiple view geometry, both classical and modern, in a clear and consistent Read more...

 
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