Markov Random Field Modeling in Computer Vision - Rilegato

Li, S.Z.

 
9784431701453: Markov Random Field Modeling in Computer Vision
Rilegato
ISBN 10: 4431701451 ISBN 13: 9784431701453
Casa editrice: Springer, 1995

Sinossi

Markov random field (MRF) modeling provides a basis for the characterization of contextual constraints on visual interpretation and enables us to develop optimal vision algorithms systematically based on sound principles. This book presents a comprehensive study on using MRFs to solve computer vision problems, covering the following parts essential to the subject: 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 is an excellent reference for researchers working in computer vision, image processing, pattern recognition and applications of MRFs. It is also suitable as a text for advanced courses in the subject.

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Editore
Springer
Data di pubblicazione
1995
Lingua
Inglese
ISBN 10 
4431701451
ISBN 13 
9784431701453
Rilegatura
Copertina rigida
Numero edizione
1
Numero di pagine
280
Contatto del produttore
non disponibile
Persona responsabile
CMN Printpool Inh. Mathis Neumann
https://www.also.com/ec/cms5/en_6000/6000/index.jsp

Friedrich-Karl-Str. 9
Hamburg
Germania

Altre edizioni note dello stesso titolo

9780387701455: Markov Random Field Modeling in Computer Vision

Edizione in evidenza

ISBN 10:  0387701451 ISBN 13:  9780387701455
Rilegato