ENGLISH

Markov Random Field Modeling in Computer Vision

By S. Li

Book information

Publisher
Springer
Year
1995
ISBN
9784431701453, 4431701451
Language
english
Format
CHM
Filesize
2 MB (1683350 bytes)
Pages
\0
Topic
Computers
Library
Kolxo3
Time added
2009-07-20 03:45:11

Description

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.

Similar books