A multiple kernel fusion method combining two multiresolution histogram face descriptors is proposed to create a powerful representation method for face recognition. The multi resolution histogram descriptors are based on local binary patterns and local phase coding to achieve invariance to various types of image degradation. The multi-kernel fusion is based on the computationally efficient spectral regression KDA. The proposed face recognition method is evaluated on FRGC 2.0 database yielding very impressive results. © 2010 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Chan, C. H., Kittler, J., & Tahir, M. A. (2010). Kernel fusion of multiple histogram descriptors for robust face recognition. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6218 LNCS, pp. 718–727). https://doi.org/10.1007/978-3-642-14980-1_71
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