1# Library to Find Best eBook for Read
Author : Sridhar Lakshmanan
Release : 1991
Genre : Gaussian processes
Kind : eBook
Book Rating : /5 ( reviews)
Book Synopsis Some Basic Results on the Use of Gaussian Markov Random Fields in Image Modelling by : Sridhar Lakshmanan
Download or read book Some Basic Results on the Use of Gaussian Markov Random Fields in Image Modelling written by Sridhar Lakshmanan. This book was released on 1991. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Havard Rue
Release : 2005-02-18
Genre : Mathematics
Kind : eBook
Book Rating : 021/5 ( reviews)
Book Synopsis Gaussian Markov Random Fields by : Havard Rue
Download or read book Gaussian Markov Random Fields written by Havard Rue. This book was released on 2005-02-18. Available in PDF, EPUB and Kindle. Book excerpt: Gaussian Markov Random Field (GMRF) models are most widely used in spatial statistics - a very active area of research in which few up-to-date reference works are available. This is the first book on the subject that provides a unified framework of GMRFs with particular emphasis on the computational aspects. This book includes extensive case-studie
Author : Stan Z. Li
Release : 2009-04-03
Genre : Computers
Kind : eBook
Book Rating : 793/5 ( reviews)
Book Synopsis Markov Random Field Modeling in Image Analysis by : Stan Z. Li
Download or read book Markov Random Field Modeling in Image Analysis written by Stan Z. Li. This book was released on 2009-04-03. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author : Rama Chellappa
Release : 1993
Genre : Mathematics
Kind : eBook
Book Rating : /5 ( reviews)
Book Synopsis Markov Random Fields by : Rama Chellappa
Download or read book Markov Random Fields written by Rama Chellappa. This book was released on 1993. Available in PDF, EPUB and Kindle. Book excerpt: Introduces the theory and application of Markov random fields in image processing/computer vision. Modelling images through the local interaction of Markov models produces algorithms for use in texture analysis, image synthesis, restoration, segmentation and surface reconstruction.
Author : Havard Rue
Release : 2005-02-18
Genre : Mathematics
Kind : eBook
Book Rating : 671/5 ( reviews)
Book Synopsis Gaussian Markov Random Fields by : Havard Rue
Download or read book Gaussian Markov Random Fields written by Havard Rue. This book was released on 2005-02-18. Available in PDF, EPUB and Kindle. Book excerpt: Gaussian Markov Random Field (GMRF) models are most widely used in spatial statistics - a very active area of research in which few up-to-date reference works are available. This is the first book on the subject that provides a unified framework of GMRFs with particular emphasis on the computational aspects. This book includes extensive case-studie
