A 3D face recognition method using region-based extended local binary pattern

摘要

A 3D face recognition method using region-based extended local binary pattern (eLBP) is proposed. First, the depth image converted from the preprocessed 3D pointclouds is normalized. Then, different regions according to their distortions under facial expressions are extracted by binary masks and represented by the uniform pattern of extended LBP. Finally, sparse representation classifier (SRC) is adopted for classification on the single region. Feature-level and score-level fusion with weight-sparse representation classifier (W-SRC) are also tested and compared, and the latter has better performance. The experiments on FRGC v2.0 database demonstrate that the proposed method is robust and efficient.