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Markov Random Field Modeling in Image Analysis - Advances in Computer Vision and Pattern Recognition Stan Z. Li Softcover reprint of hardcover 3rd ed. 2009 edition
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Markov Random Field Modeling in Image Analysis - Advances in Computer Vision and Pattern Recognition
Stan Z. Li
Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. Various vision models are presented in a unified framework, including image restoration and reconstruction, edge and region segmentation, texture, stereo and motion, object matching and recognition, and pose estimation.
362 pages, black & white illustrations
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2010. gada 21. oktobris |
| ISBN13 | 9781849967679 |
| Izdevēji | Springer London Ltd |
| Lapas | 362 |
| Izmēri | 155 × 235 × 20 mm · 535 g |
| Valoda | Angļu |
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