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Truncated max-of-convex models

Abstract:

Truncated convex models (TCM) are a special case of pairwise random fields that have been widely used in computer vision. However, by restricting the order of the potentials to be at most two, they fail to capture useful image statistics. We propose a natural generalization of TCM to high-order random fields, which we call truncated max-of-convex models (TMCM). The energy function of TMCM consistsof two types of potentials: (i) unary potential, which has no restriction on its form; and (ii) c...

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Publication status:
In press
Peer review status:
Peer reviewed

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Department:
Oxford, MPLS, Engineering Science
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Author
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Department:
Lady Margaret Hall
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Author
Publisher:
Computer Vision Foundation Publisher's website
Publication date:
2017-07-05
Acceptance date:
2017-03-03
Pubs id:
pubs:688991
URN:
uri:48d76b9a-e5e9-4884-98c5-3a3c983d8a7f
UUID:
uuid:48d76b9a-e5e9-4884-98c5-3a3c983d8a7f
Local pid:
pubs:688991

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