Face recognition based on the appearance of local regions

Recently, we proposed a novel facial representation for face recognition based on the local binary pattern (LBP) features. We obtained excellent results when dividing the face images into several regions from which the LBP features are extracted and concatenated into an enhanced feature vector as a face descriptor. However, it was unclear whether the obtained results were due to the use of local regions (instead of a holistic approach) or to the discriminative power of LBP. In this work, we investigated this issue by adopting and comparing four different texture features when using the appearances of local regions. The experimental results clearly showed and confirmed the validity of using LBP for face description.

[1]  M. Turk,et al.  Eigenfaces for Recognition , 1991, Journal of Cognitive Neuroscience.

[2]  KrügerNorbert,et al.  Face Recognition by Elastic Bunch Graph Matching , 1997 .

[3]  Norbert Krüger,et al.  Face recognition by elastic bunch graph matching , 1997, Proceedings of International Conference on Image Processing.

[4]  Rama Chellappa,et al.  Discriminant Analysis for Recognition of Human Face Images (Invited Paper) , 1997, AVBPA.

[5]  Hyeonjoon Moon,et al.  The FERET evaluation methodology for face-recognition algorithms , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[6]  Shaogang Gong,et al.  Dynamic Vision - From Images to Face Recognition , 2000 .

[7]  B. S. Manjunath,et al.  Color and texture descriptors , 2001, IEEE Trans. Circuits Syst. Video Technol..

[8]  Bruce A. Draper,et al.  A nonparametric statistical comparison of principal component and linear discriminant subspaces for face recognition , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

[9]  Aleix M. Martínez,et al.  Recognizing Imprecisely Localized, Partially Occluded, and Expression Variant Faces from a Single Sample per Class , 2002, IEEE Trans. Pattern Anal. Mach. Intell..

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

[11]  Azriel Rosenfeld,et al.  Face recognition: A literature survey , 2003, CSUR.

[12]  Tomaso A. Poggio,et al.  Face recognition: component-based versus global approaches , 2003, Comput. Vis. Image Underst..

[13]  Bruce A. Draper,et al.  The CSU Face Identification Evaluation System: Its Purpose, Features, and Structure , 2003, ICVS.

[14]  Andrew Zisserman,et al.  Texture classification: are filter banks necessary? , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..