3D Facial Depth Map Recognition in Different Poses with Surface Contour Feature
Chang Ye · 2013
Three-dimensional face recognition has drawn more and more attention, for it overcomes the shortcomings of two-dimensional face recognition technology that two-dimensional face recognition is susceptible to the influence of light, expression changes and pose variations. A face recognition method, Fourier descriptor and contour (FDAC), is proposed in this paper. It is based on the depth maps by the three-dimensional facial imaging system in different poses. Firstly, depth maps are corrected under the guidance of thedifferential geometry theory, and the human face features are described by the contours. Secondly, Fourier descriptor is employed to extract the facial features.Finally, these extracted features are used in the face recognition process. Experimental results show that FDAC has good recognition accuracy and it performs better in time cost compared with Eigenface method.