- 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...
Expand abstract - Publication status:
- Published
- Publisher copy:
- 10.1109/tpami.2008.182
-
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- 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
- Language:
- English
- Keywords:
- Copyright date:
- 2009
Journal article
A statistical approach to material classification using image patch exemplars.
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