Conference item icon

Conference item

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...

Expand abstract
Publication status:
In press
Peer review status:
Peer reviewed

Actions


Access Document


Files:

Authors


More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
More by this author
Institution:
University of Oxford
Oxford college:
Lady Margaret Hall
Role:
Author
Publisher:
Computer Vision Foundation Publisher's website
Journal:
2017 Conference on Computer Vision and Pattern Recognition (CVPR 2017) Journal website
Host title:
2017 Conference on Computer Vision and Pattern Recognition (CVPR 2017)
Publication date:
2017-07-01
Acceptance date:
2017-03-03
Event location:
Hawaii Convention Center, Honolulu Hawaii
Event start date:
2017-07-22T00:00:00Z
Event end date:
2017-07-25T00:00:00Z
Source identifiers:
688991
Pubs id:
pubs:688991
UUID:
uuid:48d76b9a-e5e9-4884-98c5-3a3c983d8a7f
Local pid:
pubs:688991
Deposit date:
2017-04-11

Terms of use


Views and Downloads






If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP