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Journal article

OBJCUT: efficient segmentation using top-down and bottom-up cues.

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...

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Publication status:
Published

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Publisher copy:
10.1109/tpami.2009.16

Authors


Zisserman, A More by this author
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

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