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|a 978-0-13-608592-8
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|a Forsyth, David A.
|9 117809
|e autor
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1 |
0 |
|a Computer vision:
|b a modern approach /
|c David A. Forsyth and Jean Ponce.
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| 250 |
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|a Segunda edición
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| 264 |
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1 |
|a New Jersey:
|b Pearson,
|c 2012.
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| 264 |
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4 |
|c ©2012
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| 300 |
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|a xxix, 761 páginas:
|b ilu
|c 26 cm
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| 504 |
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|a incl. ref.
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| 505 |
1 |
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|a I. Image formation -- 2. Light and Shading -- 3. Color -- II. Early vision: just one image -- 4. Linear Filters -- 5. Local Image Features -- 6. Texture -- III. Early vision: Multiple Images. Stereopsis -- 8. Structure from Motion -- IV. Mid-Level Vision -- 9. Segmentation by Clustering -- 10. Grouping and Model Fitting -- 11. Tracking -- V. High-Level Vision 12. Registration -- 13. Smooth Surfaces and Their Outlines -- 14. Range Data -- 15. Learning to Classify -- 16. Classifying Images -- 17. Detecting Objects in Images -- 18. Topics in Object Recognition -- VI. Applications and Topics 19. Image-Based Modeling and Rendering -- 20. Looking at People -- 21. Image Search and Retrieval -- VII. Background Material 22. Optimization Techniques.
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| 520 |
3 |
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|a This textbook provides the most complete treatment of modern computer vision methods by two of the leading authorities in the field. This accessible presentation gives both a general view of the entire computer vision enterprise and also offers sufficient detail for students to be able to build useful applications. Students will learn techniques that have proven to be useful by first-hand experience and a wide range of mathematical methods
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|a Informática
|9 7361
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|a Informática
|x Procesamiento de datos
|9 274090
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| 650 |
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|2 UCuenca-cdrjbv
|a Ordenador
|9 109703
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| 700 |
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|a Ponce, Jean
|9 117810
|e autor
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|a UC-CDJBV
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|a http://sibuc.ucuenca.edu.ec/portada/111626.jpg
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|r luz.vázquez@ucuenca.edu.ec
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