Varma, M. ; Zisserman, A. (2009) A Statistical Approach To Material Classification Using Image Patch Exemplars IEEE Transactions on Pattern Analysis and Machine Intelligence, 31 (11). pp. 2032-2047. ISSN 0162-8828
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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 neighbourhoods (starting from as small as 3×3 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 equivalent neighbourhoods.
| Item Type: | Article |
|---|---|
| Source: | Copyright of this article belongs to Institute of Electrical and Electronic Engineers. |
| ID Code: | 119698 |
| Deposited On: | 16 Jun 2021 09:32 |
| Last Modified: | 16 Jun 2021 09:32 |
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