- Abstract:
-
This paper presents results from computer experiments with an algorithm to perform scene disposition and motion segmentation from visual motion or optic flow. The maximum a posteriori (MAP) criterion is used to formulate what the best segmentation or interpretation of the scene should be, where the scene is assumed to be made up of some fixed number of moving planar surface patches. The Bayesian approach requires, first, specification of prior expectations for the optic flow field, which here...
Expand abstract - Publication status:
- Published
- Publisher copy:
- 10.1109/TPAMI.1987.4767896
-
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- Journal:
- IEEE transactions on pattern analysis and machine intelligence
- Volume:
- 9
- Issue:
- 2
- Pages:
- 220-228
- Publication date:
- 1987-02-05
- DOI:
- EISSN:
-
1939-3539
- ISSN:
-
0162-8828
- URN:
-
uuid:1b6755f9-8fdf-4399-bcf1-5834870e3b99
- Source identifiers:
-
315773
- Local pid:
- pubs:315773
- Language:
- English
- Copyright date:
- 1987
Journal article
Scene segmentation from visual motion using global optimization.
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