Markov random fields in visual reconstruction : a transputer-based multicomputer implementation

Markov Random Fields (MRFs) are used in computer vision as an effective method for reconstructing a function starting from a set of noisy, or sparse data, or in the integration of early vision processes to label physical discontinuities. The MRF formalism is attractive because it enables the assump...

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Bibliographic Details
Main Author: Siksik, Ola
Language:English
Published: University of British Columbia 2010
Subjects:
Online Access:http://hdl.handle.net/2429/28863