3D face recognition based on local radial binary pattern

An operator named local radial binary pattern (LRBP) was proposed for extracting local features in face recognition. The binary sequence encoding scheme of the LRBP is different from that of the local binary pattern. Firstly, the proposed LRBP operator was used in 3D face recognition. 3D face depth images were preprocessed and divided into subregions. Then the signature sequences of the subregions were extracted by the LRBP operator. The feature vectors of a 3D face depth image were obtained by connecting the signature sequences of all the subregions of the image. Finally, the 3D face feature vectors were trained and recognized using the Fisherface method. Experiments were conducted using the 3D face database of Institute of Automation, Chinese Academy of Sciences. The results show that the proposed method can effectively promote the efficiency of 3D face recognition without reducing the recognition rates.