Multiple View Geometry in Computer Vision - Rilegato

Hartley, Richard; Zisserman, Andrew

 
9780521623049: Multiple View Geometry in Computer Vision
Rilegato
ISBN 10: 0521623049 ISBN 13: 9780521623049
Casa editrice: Cambridge University Press, 2000

Sinossi

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

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Descrizione del libro

Recent developments in the theory and practice of scene reconstruction are described in detail in a unified framework. The distinctive flavour is that the approach is uncalibrated. Geometric principles and their algebraic representation are covered, enabling readers to understand the projective geometry and estimation algorithms presented, and implement them directly.

Contenuti

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.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Editore
Cambridge University Press
Data di pubblicazione
2000
Lingua
Inglese
ISBN 10 
0521623049
ISBN 13 
9780521623049
Rilegatura
Copertina rigida
Numero di pagine
624
Contatto del produttore
non disponibile
Persona responsabile
Avery
https://www.avery.fr/

chemin des peupliers 27
Dardilly
Francia

Altre edizioni note dello stesso titolo

9780521540513: Multiple View Geometry in Computer Vision

Edizione in evidenza

ISBN 10:  0521540518 ISBN 13:  9780521540513
Casa editrice: Cambridge University Press, 2004
Brossura