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Lladó Bardera, Xavier
Martà BonmatÃ, Joan Petrou, Maria |
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| 2003 | |
| Changes in the angle of illumination incident upon a 3D surface texture can significantly alter its appearance, implying variations in the image texture. These texture variations produce displacements of class members in the feature space, increasing the failure rates of texture classifiers. To avoid this problem, a model-based texture recognition system which classifies textures seen from different distances and under different illumination directions is presented in this paper. The system works on the basis of a surface model obtained by means of 4-source colour photometric stereo, used to generate 2D image textures under different illumination directions. The recognition system combines coocurrence matrices for feature extraction with a Nearest Neighbour classifier. Moreover, the recognition allows one to guess the approximate direction of the illumination used to capture the test image | |
| application/pdf | |
| Lladó, X., MartÃ, J., Petrou, M. (2003). Classification of textures seen from different distances and under varying illumination direction. Image processing, 1, 833-836. Recuperat 04 maig 2010, a http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1247092 | |
| 1522-4880 | |
| http://hdl.handle.net/10256/2158 | |
| eng | |
| IEEE | |
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Reproducció digital del document publicat a: http://dx.doi.org/10.1109/ICIP.2003.1247092 Articles publicats (D-ATC) |
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| © Image Processing, 2003, vol. 1, p. 833-836 | |
| Tots els drets reservats | |
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Imatges -- Processament -- Tècniques digitals
Image processing -- Digital techniques |
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| Classification of textures seen from different distances and under varying illumination direction | |
| info:eu-repo/semantics/article | |
| DUGiDocs |
