POSE-VARIED FACE RECOGNITION BASED ON 3-D FACE MODEL

摘要：

In this paper, 3-D face model is utilized to tackle position problems in face recognition. At first, RBFS (radial basis function) and B curve method are combined to carry on 3-D face reconstruction. Then face pose parameters can be estimated rapidly when three angles of facial rotation are calculated separately. Later, face position parameters and 3-D face model are combined to generate new face image whose position parameters are the same as the input ones. At last, 2-D face recognition is done with the same face positions. Experiments demonstrate that the method can get good recognition results, can be simply operated and is a valid face recognition method used for solving face position problems.

关键词： Face recognition 3-D face reconstruction Position parameter RBFS B-shape curve

作者: GUO-HUI HE BIN ZHU JUN-YING GAN

作者单位: School of information, Wuyi University, Jiangmen, Guangdong 529020, P.R.C, China

会议类型: 国际会议

会议名称: 2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)

会议地点: 昆明

会议语种:英文

页码: 2987-2992

在线出版日期: 2008-07-12（万方平台首次上网日期，不代表论文的发表时间）