Face Representation with Local Gabor Phase Quantization
In face recognition, illumination, blur and one-sample are three main influence factors, in order to solve these problems, we propose a new face descriptor named LGPQ(local Gabor phase quantization), which is based on Gabor and Local Phase Quantization(LPQ), wherein Gabor has characteristic of multi-scale and multi-orientation, and LPQ takes characteristic of blur-invariant. Through the combination of the two characteristics, when testing on four different subsets of FERET database which contains changes of illumination, age and one-sample, LGPQ could obtain more effective performance than LBP, LGBP and LPQ, especially on subset of changes of age.