Varma, M. ; Zisserman, A. (2005) A Statistical Approach to Texture Classification from Single Images International Journal of Computer Vision: Special Issue on Texture Analysis and Synthesis, 62 (1--2). pp. 61-81. ISSN 0920-5691
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Official URL: https://doi.org/10.1023/B:VISI.0000046589.39864.ee
Related URL: http://dx.doi.org/10.1023/B:VISI.0000046589.39864.ee
Abstract
We investigate texture classification from single images obtained under unknown viewpoint and illumination. A statistical approach is developed where textures are modelled by the joint probability distribution of filter responses. This distribution is represented by the frequency histogram of filter response cluster centres (textons). Recognition proceeds from single, uncalibrated images and the novelty here is that rotationally invariant filters are used and the filter response space is low dimensional.
| Item Type: | Article |
|---|---|
| Source: | Copyright of this article belongs to Springer Nature Switzerland AG. |
| Keywords: | Material Classification; 3D Textures; Textons; Filter Banks; Rotation Invariance. |
| ID Code: | 119706 |
| Deposited On: | 16 Jun 2021 10:06 |
| Last Modified: | 16 Jun 2021 10:06 |
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