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Markov Random Field Modeling in Image Analysis - Advances in Computer Vision and Pattern Recognition Stan Z. Li 3rd ed. 2009 edition
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, 1, black & white illustrations
| Media | Books Hardcover Book (Book with hard spine and cover) |
| Released | April 2, 2009 |
| ISBN13 | 9781848002784 |
| Publishers | Springer London Ltd |
| Pages | 362 |
| Dimensions | 155 × 235 × 22 mm · 657 g |
| Language | English |