- Abstract:
-
We present a probabilistic method for segmenting instances of a particular object category within an image. Our approach overcomes the deficiencies of previous segmentation techniques based on traditional grid conditional random fields (CRF), namely that 1) they require the user to provide seed pixels for the foreground and the background and 2) they provide a poor prior for specific shapes due to the small neighborhood size of grid CRF. Specifically, we automatically obtain the pose of the o...
Expand abstract - Publication status:
- Published
- Publisher copy:
- 10.1109/tpami.2009.16
-
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- Journal:
- IEEE transactions on pattern analysis and machine intelligence
- Volume:
- 32
- Issue:
- 3
- Pages:
- 530-545
- Publication date:
- 2010-03-05
- DOI:
- EISSN:
-
1939-3539
- ISSN:
-
0162-8828
- URN:
-
uuid:0e7f379b-492a-4796-ac28-1c59d4c56811
- Source identifiers:
-
62067
- Local pid:
- pubs:62067
- Language:
- English
- Keywords:
- Copyright date:
- 2010
Journal article
OBJCUT: efficient segmentation using top-down and bottom-up cues.
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