Local color vector binary pattern for face recognition

This paper proposes local color vector binary pattern (LCVBP) as a new color based face descriptor for face recognition (FR). In the proposed LCVBP, color pixel pattern of different spectral images is extracted as discriminative information. Further, to maximize a complementary effect taken from different color channels, color angle pattern between a pair of different spectral images is incorporated into the creation of LCVBP. Experimental results on three public databases (CMU-PIE, XM2VTSDB, and Color FERET) show that the proposed color texture feature is able to significantly improve FR performance, compared to the conventional grayscale texture features including Gabor wavelet and Local Binary Pattern (LBP). In particular, the proposed LCVBP is able to provide excellent FR performance for face images taken under severe illumination variation.

[1]  Terence Sim,et al.  The CMU Pose, Illumination, and Expression Database , 2003, IEEE Trans. Pattern Anal. Mach. Intell..

[2]  Chengjun Liu,et al.  Fusion of color, local spatial and global frequency information for face recognition , 2010, Pattern Recognit..

[3]  David J. Kriegman,et al.  Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection , 1996, ECCV.

[4]  Chengjun Liu,et al.  Gabor feature based classification using the enhanced fisher linear discriminant model for face recognition , 2002, IEEE Trans. Image Process..

[5]  Arun Ross,et al.  Score normalization in multimodal biometric systems , 2005, Pattern Recognit..

[6]  David J. Kriegman,et al.  Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection , 1996, ECCV.

[7]  Hyeonjoon Moon,et al.  The FERET Evaluation Methodology for Face-Recognition Algorithms , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[8]  Xudong Jiang,et al.  Eigenfeature Regularization and Extraction in Face Recognition , 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[9]  Konstantinos N. Plataniotis,et al.  Regularized discriminant analysis for the small sample size problem in face recognition , 2003, Pattern Recognit. Lett..

[10]  Matti Pietikäinen,et al.  Face Description with Local Binary Patterns: Application to Face Recognition , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[11]  Paul F. Whelan,et al.  Experiments in colour texture analysis , 2001, Pattern Recognit. Lett..

[12]  Matti Pietikäinen,et al.  Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns , 2002, IEEE Trans. Pattern Anal. Mach. Intell..

[13]  Yong Man Ro,et al.  Using colour local binary pattern features for face recognition , 2010, 2010 IEEE International Conference on Image Processing.

[14]  Jiri Matas,et al.  XM2VTSDB: The Extended M2VTS Database , 1999 .

[15]  Yong Man Ro,et al.  Color Face Recognition for Degraded Face Images , 2009, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[16]  Georgios S. Paschos,et al.  Perceptually uniform color spaces for color texture analysis: an empirical evaluation , 2001, IEEE Trans. Image Process..