6 March 2014 3D face recognition via conformal representation
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Abstract
In this paper, we propose a 3D face recognition approach based on the conformal representation of facial surfaces. Firstly, facial surfaces are mapped onto the 2D unit disk by Riemann mapping. Their conformal representation (i.e. the pair of mean curvature (MC) and conformal factor (CF) ) are then computed and encoded to Mean Curvature Images (MCIs) and Conformal Factor Images (CFIs). Considering that different regions of face deform unequally due to expression variation, MCIs and CFIs are divided into five parts. LDA is applied to each part to obtain the feature vector. At last, five parts are fused on the distance level for recognition. Extensive experiments carried out on the BU-3DFE database demonstrate the effectiveness of the proposed approach.
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Junhui Han, Junhui Han, Chi Fang, Chi Fang, Xiaoqing Ding, Xiaoqing Ding, Jian Sun, Jian Sun, Xianfeng D. Gu, Xianfeng D. Gu, } "3D face recognition via conformal representation", Proc. SPIE 9013, Three-Dimensional Image Processing, Measurement (3DIPM), and Applications 2014, 901308 (6 March 2014); doi: 10.1117/12.2039542; https://doi.org/10.1117/12.2039542
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