Markov Random Field Modeling in Computer Vision. S. Li

Markov Random Field Modeling in Computer Vision



Download Markov Random Field Modeling in Computer Vision



Markov Random Field Modeling in Computer Vision S. Li ebook chm
Publisher: Springer
Language: English
Page: 0
ISBN: 4431701451, 9784431701453

Markov random field (MRF) modelling provides a basis for the characterization for contextual constraints on visual interpretation which allows for development of optimal vision algorithms systematically based on sound principles. This text presents a study on using MRFs to solve computer vision problems, covering areas such as: introduction to fundamental theories; formulations of various vision models in the MRF framework; MRF parameter estimation; and optimization algorithms. Various MRF vision models are presented in a unified form, including image restoration and reconstruction, edge and region segmentation, texture, stereo and motion, object matching and recognition, and pose estimation. This book should be a useful reference for researchers working in computer vision, image processing, pattern recognition and applications of MRFs.
--This text refers to an out of print or unavailable edition of this title.



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