Computer vision : a modern approach
Guardado en:
| Autores principales: | , |
|---|---|
| Formato: | Livre papier |
| Lenguaje: | Anglais |
| Publicado: |
Upper Saddle River (N.J.) :
Prentice Hall
C 2003.
|
| Edición: | Reprinted with corrections. |
| Materias: | |
| Autres localisations: | Voir dans le Sudoc |
Tabla de Contenidos:
- Part I. Image formation and image models
- 1. Cameras
- 2. Geometric camera models
- 3. Geometric camera calibration
- 4. Radiometry - Measuring light
- 5. Sources, shadows, and shading
- 6. Color.
- Part II. Early vision : just one image
- 7. Linear filters
- 8. Edge detection
- 9. Texture.
- Part III. Early vision : multiple images
- 10. The geormetry of multiple views
- 11. Stereopsis
- 12. Affine structure from motion
- 13. Projective structure from motion.
- Part IV. Mid-level vision
- 14. Segmentation by clustering
- 15. Segmentation by fitting a model
- 16. Segmentation and fitting using probabilistic methods
- 17. Tracking with linear dynamic models.
- Part V. High-level vision : geometric methods
- 18. Model-based vision
- 19. Smooth surfaces and their outlines
- 20. Aspect graphs
- 21. Range data.
- Part VI. High-level vision : probabilistic and inferential methods
- 22. Finding templates using classifiers
- 23. Recognition by relations between templates
- 24. Geometric templates from spatial relations.
- Part VII. Applications
- 25. Application : finding in digital libraries
- 26. Application : image-based rendering.