3D Face Pose Normalization using Equipartition Fitting Sphere Representation of Shape
Pose normalization is a necessary process of 3D face recognition. Automatic and robust normalization is still a challenge to existing techniques. We propose a novel method called Equipartition Fitting Sphere Representation (EPFSR) for shape representation. Convexes on face are localized firstly based on EPFSR. Then the tip and orientation of nose are identified automatically from convexes by template matching. Extensive experiments are performed on five popular 3D face databases. Results show the high robustness of the proposed methods to expression variations. Accuracy of nose identification is more than 97.7%. Time cost depends on the number of face vertices. It takes averagely less than 9 seconds to localize the nose on a 3D head including around 80000 vertices in the FRGC2.0 database.
id face recognition pose normalization spherical equipartition spherical fitting
Peijiang Liu Yunhong Wang
Intelligent Recognition and Image Processing Lab School of Computer Science and Engineering, Beihang University Beijing 100191, China
国际会议
The Fifth International Conference on Image and Graphics(第五届国际图像图形学学术会议 ICIG 2009)
西安
英文
336-340
2009-09-20（万方平台首次上网日期，不代表论文的发表时间）