Optimal Bayesian Estimators for Image Segmentation and Surface Reconstruction

Optimal Bayesian Estimators for Image Segmentation and Surface Reconstruction

sA very fruitful approach to the solution of image segmentation andssurface reconstruction tasks is their formulation as estimationsproblems via the use of Markov random field models and Bayes theory.sHowever, the Maximuma Posteriori (MAP) estimate, which is the one mostsfrequently used, is s...

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Bibliographic Details
Main Author: Marroquin, Jose L.
Language:en_US
Published: 2004
Subjects:
Bayesian estimation
Markov random fields
image segmentation
ssurface reconstruction
image restoration
Online Access:http://hdl.handle.net/1721.1/5614

Internet

http://hdl.handle.net/1721.1/5614

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