Further Details
Title: Markov Random Field Modeling in Image Analysis
Condition: New
Author: Stan Z. Li
Format: Hardback
EAN: 9781848002784
ISBN: 9781848002784
Edition: Third Edition 2009
Publisher: Springer London Ltd
Genre: Computing & Internet
Topic: Science Nature & Math
Release Date: 04/02/2009
Description:
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.
Language: English
Item Height: 235mm
Item Length: 155mm
Series: Advances in Computer Vision and Pattern Recognition
Release Year: 2009
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