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A statistical approach to material classification using image patch exemplars.

Abstract:

In this paper, we investigate material classification from single images obtained under unknown viewpoint and illumination. It is demonstrated that materials can be classified using the joint distribution of intensity values over extremely compact neighborhoods (starting from as small as 3 \times 3 pixels square) and that this can outperform classification using filter banks with large support. It is also shown that the performance of filter banks is inferior to that of image patches with equ...

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Publication status:
Published

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Publisher copy:
10.1109/tpami.2008.182

Authors


Zisserman, A More by this author
Journal:
IEEE transactions on pattern analysis and machine intelligence
Volume:
31
Issue:
11
Pages:
2032-2047
Publication date:
2009-11-05
DOI:
EISSN:
1939-3539
ISSN:
0162-8828
URN:
uuid:1e771286-7e51-4f26-8b79-37f0150ef470
Source identifiers:
62079
Local pid:
pubs:62079

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