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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

Authors


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Institution:
University of Oxford
Department:
Oxford, MPLS, Engineering Science
Buxton, BF More by this author
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

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