A framework for analyzing texture descriptors

VISAPP 2008 - 3rd International Conference on Computer Vision Theory and Applications, Proceedings

Volumn 1, Issue , 2008, Pages 507-512

  Ahonen, Timo ^a   Pietikäinen, Matti ^a  

^a UNIVERSITY OF OULU   (Finland)

Author keywords

Gabor; KTH TIPS; Local binary pattern; MR8; Texture descriptor

Indexed keywords

COMPUTATIONAL COMPLEXITY; COMPUTER VISION; CONTENT BASED RETRIEVAL; IMAGE PROCESSING; IMAGE RETRIEVAL; VECTOR QUANTIZATION;

GABOR; KTH-TIPS; LOCAL BINARY PATTERN; MR8; TEXTURE DESCRIPTOR;

TEXTURES;

EID: 57349182514     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (16)

1. Caputo, B., Hayman, E., and Mallikarjuna, P. (2005). Classspecific material categorisation. In Proc. ICCV 2005, pages 1597-1604.
2. Clausi, D. A. and Jernigan, M. E. (2000). Designing Gabor filters for optimal texture separability. Pattern Recognition, 33(11): 1835-1849.
3. Gray, R. M. and Neuhoff, D. L. (1998). Quantization. IEEE Trans. Image Process, 44(6):2325-2383.
4. Grigorescu, S. E., Petkov, N., and Kruizinga, P. (2002). Comparison of texture features based on Gabor filters. IEEE Trans. Image Process., 11 (10): 1160-1167.
5. Leung, T. and Malik, J. (2001). Representing and recognizing the visual appearance of materials using three-dimensional textons. Int. J. Comput. Vision, 43(1):29-44.
6. Mallikarjuna, P., Fritz, M., Targhi, A. T., Hayman, E., Caputo, B., and Eklundh, J.-O. (2006). The KTH-TIPS and KTH-TIPS2 databases. http://www.nada.kth.se/cvap/databases/kth-tips/.
7. Manjunath, B. S. and Ma, W.-Y. (1996). Texture features for browsing and retrieval of image data. IEEE Trans. Pattern Anal. Mach Intell., 18(8):837-842.
8. Ojala, T., Pietikäinen, M., and Mäenpää, T. (2002). Multiresolution gray-scale and rotation invariant texture classification with local binary patterns. IEEE Trans. Pattern Anal. Mack Intell., 24(7):971-987.
9. Ojala, T., Valkealahti, K., Oja, E., and Pietikäinen, M. (2001). Texture discrimination with multidimensional distributions of signed gray-level differences. Pattern Recognition, 34(3):727-739.
10. Pudil, P., Novovicová, J., and Kittler, J. (1994). Floating search methods in feature selection. Pattern Recognition Letters, 15(10): 1119-1125.
11. The Local Binary Pattern Bibliography (2007). http://www.ee.oulu.fi/mvg/ page/lbp-bibliography.
12. Tuceryan, M. and Jain, A. K. (1998). Texture analysis. In Chen, G H., Pau, L. F., and Wang, P. S. P., editors, The Handbook of Pattern Recognition and Computer Vision (2nd Edition), pages 207-248. World Scientific Publishing Co.
13. Varma, M. and Zisserman, A. (2003). Texture classification: Are filter banks necessary? In Proc. CVPR 2003, volume 2, pages 691-698.
14. Varma, M. and Zisserman, A. (2004). Unifying statistical texture classification frameworks. Image Vision Comput., 22(14):1175-1183.
15. Varma, M. and Zisserman, A. (2005). A statistical approach to texture classification from single images. International Journal of Computer Vision, 62(1-2):61-81.
16. Yan, S., Wang, H., Tang, X., and Huang, T. S. (2007). Exploring feature descriptors for face recognition. In Proc. ICASSP 2007.