Multispectral local binary pattern histogram for component-based color face verification

IEEE Conference on Biometrics: Theory, Applications and Systems, BTAS'07

Volumn , Issue , 2007, Pages

  Chan, Chi Ho ^b   Kittler, Josef ^b   Messer, Kieron ^a,b  

^a IEEE

^b UNIVERSITY OF SURREY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

BIOMETRICS; COLOR; CONTENT BASED RETRIEVAL; DISCRIMINANT ANALYSIS; OPTICAL PROPERTIES;

COLOR FACE RECOGNITION; COMPONENT-BASED; DESCRIPTOR; DESCRIPTORS; FACE IMAGES; FACE REPRESENTATIONS; FACE VERIFICATION; INTERNATIONAL CONFERENCES; LINEAR DISCRIMINANT ANALYSIS (CLDA); LOCAL BINARY PATTERN (LBP); MULTI-SPECTRAL (MS); OVERLAPPING REGIONS; REGIONAL FEATURE; SIMILARITY SCORES;

FACE RECOGNITION;

EID: 48749091360     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BTAS.2007.4401951     Document Type: Conference Paper

References (23)

1. C.H. Chan, J. Kittler, K. Messer, Multi-scale Local Binary Pattern Histograms for Face Recognition, ICB2007, 2007.
2. C. Jones III, A. L. Abbott, Color Face Recognition by Hypercomplex Gabor Analysis, FRG'06, 2006.
3. C. Xie, B. V. K. V. Kumar, Quaternion Correlation Filters for Color Face Recognition, in Proc SPIE, SSWMC 2005: 486-494, 2005
4. G. Heusch, Y. Rodriguez and S. Marcel, Local Binary Patterns as an Image Preprocessing for Face Authentication, FGR 2006: 9-14, 2006.
5. G. Zhang, Z. Huang, S.Z. Li, Boosting local binary pattern (LBP)-based face recognition, SinoBiometrics 2004: 179-186, 2004.
6. J.R. Beveridge, D.Bolme, M.Teixeira, and B. Draper, The CSU Face Identification Evaluation System User's Guide: Version 5.0, Technical Report, Computer Science Dept., Colorado State Univ., 2003.
7. K. Messer, J. Matas, J. Kittler, K. Jonsson, XM2VTSDB: The extended M2VTS database, in S. Akumuri and C. Kullman, editors, AVBPA'99:72-77, 1999.
8. K. Messor, J. Kittler, J. Short, G. Heusch, F. Cardinaux, S. Marcel, Y. Rodriguez, S. Shan, Y. Su, W. Gao, X. Chen, Performance Characterisation of Face Recognition Algorithms and Their Sensitivity to Severe Illumination Changes, ICB2006: 1-11, 2006.
9. L. Torres, J. Y. Reutter, L. Lorente, The importance of the Color Information face recognition, ICIP99: 627-631, 1999.
10. th ICPR: 668-671, 2002.
11. P.N. Belhumeur, J.P. Hespanha, D.J. Kriegman, Eigenfaces vs. Fisherfaces: Recognition using Class Specific Linear Projection, ECCV'96: 45-56, 1996.
12. P. Shih, C. Liu, Evolving Effective Color features for Improving FRGC Baseline Performance, CVPR'05, 2005.
13. S. Shan, W. Zhang, Y. Su, X. Xhen and W. Gao, Ensemble of Piecewise FDA based on Spatial Histogram of Local (Gabor) Binary Patterns for Face Recognition, ICPR'06, 4: 606-609, 2006.
14. T. Ahonen, A. Hadid and M. Pietikainen, Face description with local binary patterns: Application to face recognition, IEEE Trans. on PAMI, 28(12):2037-2041, 2006.
15. T. Ojala, M. Pietikainen and T. Maenpaa, Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns, IEEE Trans. on PAMI, 24(7):971-987, 2002.
16. X. Huang, S.Z. Li, Y. Wang, Jensen-Shannon Boosting Learning for Object recognition, Proceeding of CVPR, 2005.
17. th BMVC, 2006.
18. th ECCV, Lecture Notes in Computer Science, 3954(4): 321-332, 2006.
19. M.A.T. Figueiredo, A.K. Jain, Unsupervised learning of finite mixture models, PAMI, 24(3): 381-396, 2002.
20. P. Paalanen, J.-K. Kamarainen, J. Ilonen, H. Kalviainen, GMMBAYES Matlab Toolbox.
21. P. J. Philps, Support Vector machines applied to face recognition, in Advance in Neural Information Processing Systems 11, 1998.
22. A. Schwaighofer, SVM toolbox for Matlab,
23. P.J. Philips, P.J. Flynn, T. Scruggs, K.W. Bowyer, J. Chang, K. Hoffman, J. Marques, J. Min, W. Worek, Overview of the Face Recognition Grand Challenge, CVPRO5, 2005