Computer vision : models, learning, and inference / Simon J.D. Prince
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| Autore: |
Prince, Simon Jeremy Damion, 1972-
|
| Titolo: |
Computer vision : models, learning, and inference / Simon J.D. Prince
|
| Pubblicazione: | New York : Cambridge University Press, 2012 |
| Descrizione fisica: | xi, 580 p. : ill. (some col.) ; 26 cm |
| Disciplina: | 006.37 |
| Soggetto topico: | Computer vision |
| Nota di bibliografia: | Includes bibliographical references and index |
| Nota di contenuto: | Part I. Probability: 1. Introduction to probability; 2. Common probability distributions; 3. Fitting probability models; 4. The normal distribution; Part II. Machine Learning for Machine Vision: 5. Learning and inference in vision; 6. Modeling complex data densities; 7. Regression models; 8. Classification models; Part III. Connecting Local Models: 9. Graphical models; 10. Models for chains and trees; 11. Models for grids; Part IV. Preprocessing: 12. Image preprocessing and feature extraction; Part V. Models for Geometry: 13. The pinhole camera; 14. Models for transformations; 15. Multiple cameras; Part VI. Models for Vision: 16. Models for style and identity; 17. Temporal models; 18. Models for visual words; Part VII. Appendices: A. Optimization; B. Linear algebra; C. Algorithms |
| ISBN: | 9781107011793 |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 991002056149707536 |
| Lo trovi qui: | Univ. del Salento |
| Opac: | Controlla la disponibilità qui |