Automatic and Robust 3D Face Registration Using Multiresolution Spherical Depth Map

CASIA OpenIR > 模式识别实验室

	Automatic and Robust 3D Face Registration Using Multiresolution Spherical Depth Map
	Peijiang Liu; Yunhong Wang; Zhaoxiang Zhang; Yiding Wang
	2010-09-26
会议名称	IEEE International Conference on Image Processing
会议录名称	ICIP 2010
会议日期	26-29 September 2010
会议地点	Hong Kong, China
摘要	Face registration is a necessary preprocessing step for 3D face recognition. An entirely automatic method for 3D face registration is proposed in this paper with high accuracy and good robustness to pose and facial expression variations. Our method consists of the following three stages. Firstly, the face shape is represented by Fitting Sphere Representation (FSR). Secondly, generate the Spherical Depth Map (SDM) of face shape which is normalized roughly to a similar pose. Finally, accurately localize the nose tip using multiresolution SDM by a coarse-to-fine method. Then, in conjunction with the face orientation figured out by linear fitting and the center of fitting sphere, face can be registered completely. Extensive experiments are conducted on five popular 3D face databases. The registration accuracy is near 100 percent. Experimental results demonstrate the high robustness of the proposed methods to pose and expression variations.
关键词	Template Matching Face Registration Face Representation Depth Map
文献类型	会议论文
条目标识符	http://ir.ia.ac.cn/handle/173211/13298
专题	模式识别实验室
通讯作者	Zhaoxiang Zhang
推荐引用方式 GB/T 7714	Peijiang Liu,Yunhong Wang,Zhaoxiang Zhang,et al. Automatic and Robust 3D Face Registration Using Multiresolution Spherical Depth Map[C],2010.