Journal article
Scene segmentation from visual motion using global optimization.
- 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...
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- Publication status:
- Published
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- Publisher copy:
- 10.1109/TPAMI.1987.4767896
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Authors
Bibliographic Details
- Journal:
- IEEE transactions on pattern analysis and machine intelligence
- Volume:
- 9
- Issue:
- 2
- Pages:
- 220-228
- Publication date:
- 1987-02-01
- DOI:
- EISSN:
-
1939-3539
- ISSN:
-
0162-8828
- Source identifiers:
-
315773
Item Description
- Language:
- English
- Pubs id:
-
pubs:315773
- UUID:
-
uuid:1b6755f9-8fdf-4399-bcf1-5834870e3b99
- Local pid:
- pubs:315773
- Deposit date:
- 2012-12-19
Terms of use
- Copyright date:
- 1987
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