We present a Modular Bilinear Disciminant Analysis (MBDA) approach for face recognition. A set of classifiers are trained independently on specific face regions, and different c...
In this paper we evaluate the effectiveness of two likelihood normalization techniques, the Background Model Set (BMS) and the Universal Background Model (UBM), for improving perf...
In this paper we introduce the DCT-mod2 facial feature extraction technique which utilizes polynomial coefficients derived from 2-D DCT coefficients of spatially neighbouring bloc...
One possible solution for pose- and illuminationinvariant face recognition is to employ appearancebased approaches, which rely greatly on correct facial textures. However, existin...
Maylor K. H. Leung, Xiaozheng Zhang, Yongsheng Gao
We present a novel approach to 3D face recognition using compact face signatures based on automatically detected 3D landmarks. We represent the face geometry with inter-landmark d...