Markov Random Field Modeling in Image Analysis (inbunden)
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Format
Previously published in hardcover
Språk
Engelska
Serie
Advances in Computer Vision and Pattern Recognition
Antal sidor
362
Utgivningsdatum
2010-10-21
Upplaga
3
Förlag
Springer London Ltd
Dimensioner
234 x 156 x 20 mm
Vikt
536 g
ISBN
9781849967679

Markov Random Field Modeling in Image Analysis

av Stan Z Li, Stan Z Li
Previously published in hardcover,  Engelska, 2010-10-21
1650
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Finns även som
Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms systematically when used with optimization principles. This book presents a comprehensive study on the use of MRFs for solving computer vision problems. 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. This third edition includes the most recent advances and has new and expanded sections on topics such as: Bayesian Network; Discriminative Random Fields; Strong Random Fields; Spatial-Temporal Models; Learning MRF for Classification. This book is an excellent reference for researchers working in computer vision, image processing, statistical pattern recognition and applications of MRFs. It is also suitable as a text for advanced courses in these areas.

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