3-D personalized face reconstruction based on multi-layer and multi-region with RBFs

Authors:
Yongzhao Zhan;Rongrong Shen;Jianming Zhang
Affiliations:
School of Computer Science and Telecommunication Engineering, Jiangsu University, Zhenjiang, Jiangsu, China;School of Computer Science and Telecommunication Engineering, Jiangsu University, Zhenjiang, Jiangsu, China;School of Computer Science and Telecommunication Engineering, Jiangsu University, Zhenjiang, Jiangsu, China
Venue:
ICAT'06 Proceedings of the 16th international conference on Advances in Artificial Reality and Tele-Existence
Year:
2006

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Abstract

Constructing 3-D personalized face model with 2-D face photographs is an active topic in 3-D face modeling research. Presently, almost all methods focus on using a constrained equation to construct 3-D personalized face. Due to the complex structure of human face, these methods can’t delicately represent facial organ surfaces, and the computation cost of these methods is greater. In this paper, a method for reconstructing 3-D personalized face based on multi-layer and multi-region with RBFs is presented. First, the generic face model is reconstructed based on multi-layer and multi-region with RBFs, in which two layers are designed and four facial organs are separated. Then, the edges between layers are smoothed with influence factors of the layers. Finally, the facial texture is mapped onto the reconstructed personalized face model. Experiments show that this method is simple and efficient.