Support local pattern and its application to disparity improvement and texture classification

IEEE Transactions on Circuits and Systems for Video Technology

Volumn 24, Issue 2, 2014, Pages 263-276

  Nguyen, Vinh Dinh ^a   Nguyen, Dung Duc ^a   Nguyen, Thuy Tuong ^b   Dinh, Vinh Quang ^a   Jeon, Jae Wook ^a  

^a Sungkyunkwan University   (South Korea)

^b Institute Pasteur Korea   (South Korea)

Author keywords

Completed local binary pattern (CLBP); local binary pattern (LBP); local derivative pattern (LDP); support local pattern

Indexed keywords

EID: 84894477556     PISSN: 10518215     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCSVT.2013.2254898     Document Type: Article

References (31)

1. T. Ojala, M. Pietikainen, and T. Maenpaa, Multiresolution gray-scale and rotation invariant texture classification with local binary patterns, IEEE Trans. Pattern Anal. Mach. Intell., vol. 24, no. 7, pp. 971-987, Jul. 2002
2. D. Huang, C. Shan, M. Ardabilian, Y. Wang, and L. Chen, Local binary pattern and its application to facial image analysis: A survey, IEEE Trans. Syst., Man, Cybern. C, Appl. Rev., vol. 41, no. 6, pp. 765-781, Nov. 2011
3. M. Pietikainen, G. Zhao, A. Hadid, and T. Ahonen, Computer Vision Using Local Binary Patterns, vol. 40. Berlin, Germany: Springer, 2011
4. M. Varma and A. Zisserman, A statistical approach to texture classification from single images, Int. J. Comput. Vis., vol. 62, no. 2, pp. 61-81, 2005
5. M. Varma and A. Zisserman, A statistical approach to material classification using image patch exemplars, IEEE Trans. Pattern Anal. Mach. Intell., vol. 31, no. 11, pp. 2032-2047, Nov. 2009
6. Z. H. Guo, L. Zhang, and D. Zhang, A completed modeling of local binary pattern operator for texture classification, IEEE Trans. Image Process., vol. 19, no. 6, pp. 1657-1663, Jun. 2010
7. S. Liao, M. Law, and C. S. Chung, Dominant local binary patterns for texture classification, IEEE Trans. Image Process., vol. 18, no. 5, pp. 1107-1118, May 2009
8. Z. H. Guo, L. Zhang, and D. Zhang, Rotation invariant texture classification using LBP variance (LBPV) with global matching, Pattern Recognit., vol. 43, no. 3, pp. 706-719, 2010
9. L. Zhang, L. Zhang, Z. Guo, and D. Zhang, Monogenic-LBP: A new approach for rotation invariant texture classification, in Proc. 17th IEEE Int. Conf. Image Process., Sep. 2010, pp. 2677-2680
10. B. Zhang, Y. Gao, S. Zhao, and J. Liu, Local derivative pattern versus local binary pattern: Face recognition with high-order local pattern descriptor, IEEE Trans. Image Process., vol. 19, no. 2, pp. 533-544, Feb. 2010
11. X. Tan and B. Triggs, Enhanced local texture feature sets for face recognition under difficult lighting conditions, in Analysis and Modeling of Faces and Gestures, LNCS 4778. Berlin, Germany: Springer, 2007, pp. 168-182
12. T. Kanade, Development of a video-rate stereo machine, in Proc. Image Understand. Workshop, Nov. 1994, pp. 549-557
13. R. C. Bolles, H. H. Baker, and M. J. Hannah, The JISCT stereo evaluation, in Proc. Image Understand. Workshop, Apr. 1993, pp. 263-274
14. R. Zabih and J. Woodfill, Non-parametric local transforms for computing visual correspondence, in Proc. 3rd Eur. Conf. Comput. Vis., vol. 2. 1994, pp. 151-158
15. Y. Ohta and T. Kanade, Stereo by intra- and inter-scanline search using dynamic programming, IEEE Trans. Pattern Anal. Mach. Intell., vol. PAMI-2, no. 2, pp. 139-154, Mar. 1985
16. Z. Liu and R. Klette, Dynamic programming stereo on real-world sequences, in Advances in Neuro-Information Processing, LNCS 5506. Berlin, Germany: Springer, 2008, pp. 527-534
17. Y. Boykov, O. Veksler, and R. Zabih, Fast approximate energy minimization via graph cuts, IEEE Trans. Pattern Anal. Mach. Intell., vol. 23, no. 11, pp. 1222-1239, Nov. 2001
18. J. Kim, V. Kolmogorov, and R. Zabih, Visual correspondence using energy minimization and mutual information, in Proc. IEEE Int. Conf. Comput. Vis., Oct. 2003, pp. 1033-1040
19. P. Felzenszwalb and D. Huttenlocher, Efficient belief propagation for early vision, Int. J. Comput. Vis., vol. 70, no. 1, pp. 972-986, 2006
20. H. Hirschmuller, Stereo processing by sermiglobal matching and mutual information, IEEE Trans. Pattern Anal. Mach. Intell., vol. 30, no. 2, pp. 328-341, Feb. 2008
21. Y. S. Heo, K. M. Lee, and S. U. Lee, Robust stereo matching using adaptive normalized cross-correlation, IEEE Trans. Pattern Anal. Mach. Intell., vol. 33, no. 4, pp. 807-822, Apr. 2011
22. Z. H. Guo, L. Zhang, D. Zhang, and S. Zhang, Rotation invariant texture classification using adaptive LBP with directional statistical features, in Proc. Int. Conf. Image Process., Sep. 2010, pp. 285-288
23. A. Hafiane, G. Seetharaman, and B. Zavidovique, Median binary pattern for texture classification, in Proc. 4th Int. Conf. Image Anal. Recognit., Aug. 2007, pp. 387-398
24. H. Yang and Y. Wang, A LBP-based face recognition method with Hamming distance constraint, in Proc. 4th Int. Conf. Image Graph., Aug. 2007, pp. 645-649
25. D. K. Masrani and W. J. MacLean, A real-time large disparity range stereo-system using FPGAs, in Proc. IEEE Int. Conf. Comput. Vis. Syst., Jan. 2006, pp. 1-13
26. Y. Zhao, D.-S Huang, and W. Jia, Completed local binary count for rotation invariant texture classification, IEEE Trans. Image Process., vol. 21, no. 10, pp. 4492-4497, Oct. 2012
27. D. Scharstein and R. Szeliski. (2002). Middleburry online stereo evaluation [Online]. http://vision.middlebury.edu/stereo Available:
28. enpeda.. Image Sequence Analysis Test Site. (2010) [Online]. Available: http://www.mi.auckland.ac.nz/EISATS
29. T. Ojala, T. Maenpaa, M. Pietikainen, J. Viertola, J. Kyllonen, and S. Huovien, Outex-new framework for empirical evaluation of texture analysis algorithm, in Proc. Int. Conf. Pattern Recognit., Aug. 2002, pp. 701-706
30. Y. Xu, J. Hui, and C. Fermuller, A projective invariant for texture, in Proc. IEEE Int. Conf. Comput. Vis. Pattern Recognit., Jun. 2006, pp. 1932-1939
31. E. Hayman, B. Caputo, M. Fritz, and J. Eklundh, On the significance of real-world conditions for material classification, in Proc. Eur. Conf. Comput. Vis., May 2004, pp. 253-266.