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...
| Main Author: | |
|---|---|
| Language: | English |
| Published: |
University of British Columbia
2010
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/2429/28863 |