Markov Random Field Modeling in Computer Vision

Markov Random Field Modeling in Computer Vision - Computer Science Workbench S.

Hardback (30 Nov 1995)

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Publisher's Synopsis

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.

Book information

ISBN: 9783540701453
Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Imprint: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Pub date:
DEWEY: 006.3701519233
Language: English
Number of pages: 280
Weight: -1g