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Multiple View Geometry in Computer Vision Vital Source e-bog
Richard Hartley
(2004)
Cambridge University Press
1.223,00 kr.
Leveres umiddelbart efter køb
Multiple View Geometry in Computer Vision Vital Source e-bog
Richard Hartley og Andrew Zisserman
(2004)
Cambridge University Press
978,00 kr.
Leveres umiddelbart efter køb
Multiple View Geometry in Computer Vision
Richard Hartley og Andrew Zisserman
(2004)
Sprog: Engelsk
Cambridge University Press
1.245,00 kr.
Print on demand. Leveringstid vil være ca 2-3 uger.
Detaljer om varen
- 2. Udgave
- Vital Source searchable e-book (Reflowable pages)
- Udgiver: Cambridge University Press (Marts 2004)
- ISBN: 9781139636124
A basic problem in computer vision is to understand the structure of a real world scene given several images of it. Techniques for solving this problem are taken from projective geometry and photogrammetry. Here, the authors cover the geometric principles and their algebraic representation in terms of camera projection matrices, the fundamental matrix and the trifocal tensor. The theory and methods of computation of these entities are discussed with real examples, as is their use in the reconstruction of scenes from multiple images. The new edition features an extended introduction covering the key ideas in the book (which itself has been updated with additional examples and appendices) and significant new results which have appeared since the first edition. Comprehensive background material is provided, so readers familiar with linear algebra and basic numerical methods can understand the projective geometry and estimation algorithms presented, and implement the algorithms directly from the book.
Licens varighed:
Bookshelf online: 5 år fra købsdato.
Bookshelf appen: ubegrænset dage fra købsdato.
Udgiveren oplyser at følgende begrænsninger er gældende for dette produkt:
Print: 5 sider kan printes ad gangen
Copy: højest 5 sider i alt kan kopieres (copy/paste)
Bookshelf online: 5 år fra købsdato.
Bookshelf appen: ubegrænset dage fra købsdato.
Udgiveren oplyser at følgende begrænsninger er gældende for dette produkt:
Print: 5 sider kan printes ad gangen
Copy: højest 5 sider i alt kan kopieres (copy/paste)
Detaljer om varen
- 2. Udgave
- Vital Source 180 day rentals (dynamic pages)
- Udgiver: Cambridge University Press (Marts 2004)
- Forfattere: Richard Hartley og Andrew Zisserman
- ISBN: 9781139636124R180
A basic problem in computer vision is to understand the structure of a real world scene given several images of it. Techniques for solving this problem are taken from projective geometry and photogrammetry. Here, the authors cover the geometric principles and their algebraic representation in terms of camera projection matrices, the fundamental matrix and the trifocal tensor. The theory and methods of computation of these entities are discussed with real examples, as is their use in the reconstruction of scenes from multiple images. The new edition features an extended introduction covering the key ideas in the book (which itself has been updated with additional examples and appendices) and significant new results which have appeared since the first edition. Comprehensive background material is provided, so readers familiar with linear algebra and basic numerical methods can understand the projective geometry and estimation algorithms presented, and implement the algorithms directly from the book.
Licens varighed:
Online udgaven er tilgængelig: 180 dage fra købsdato.
Offline udgaven er tilgængelig: 180 dage fra købsdato.
Udgiveren oplyser at følgende begrænsninger er gældende for dette produkt:
Print: 5 sider kan printes ad gangen
Copy: højest 5 sider i alt kan kopieres (copy/paste)
Online udgaven er tilgængelig: 180 dage fra købsdato.
Offline udgaven er tilgængelig: 180 dage fra købsdato.
Udgiveren oplyser at følgende begrænsninger er gældende for dette produkt:
Print: 5 sider kan printes ad gangen
Copy: højest 5 sider i alt kan kopieres (copy/paste)
Detaljer om varen
- 2. Udgave
- Paperback: 670 sider
- Udgiver: Cambridge University Press (Marts 2004)
- Forfattere: Richard Hartley og Andrew Zisserman
- ISBN: 9780521540513
A basic problem in computer vision is to understand the structure of a real world scene given several images of it. Techniques for solving this problem are taken from projective geometry and photogrammetry. Here, the authors cover the geometric principles and their algebraic representation in terms of camera projection matrices, the fundamental matrix and the trifocal tensor. The theory and methods of computation of these entities are discussed with real examples, as is their use in the reconstruction of scenes from multiple images. The new edition features an extended introduction covering the key ideas in the book (which itself has been updated with additional examples and appendices) and significant new results which have appeared since the first edition. Comprehensive background material is provided, so readers familiar with linear algebra and basic numerical methods can understand the projective geometry and estimation algorithms presented, and implement the algorithms directly from the book.
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.
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.
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