With the following experimental results we validate the theoretical basis and demonstrate the accuracy of our devised image feature localization method.
机构署名：
本校为通讯机构
院系归属：
计算机与通信工程学院
摘要：
Sometimes realistic face representation is confronted with blur or low-resolution face images, as a result, existing classification methods are not powerful and robust enough. This paper proposes a novel face representation approach (GLL) which fuses Gabor filter, Local Binary Pattern (LBP) and Local Phase Quantization (LPQ). In the process of Gabor filter, it uses Gabor wavelet functions with two scales and eight orientations to capture the salient visual properties in face image. On this basis of Gabor features, we acquire LBP features and LPQ features, respectively, so as to fully explore t...
