Craniofacial Model Reconstruction From Skull Data Based on Feature Points

摘要：

3D craniofacial model reconstruction from skull data has been a challenging research topic for many years. In this paper we develop a craniofacial reconstruction system based on feature points, and our approach only requires the skull model from a standard 3D scanner and feature points superimposed on the skull data. Our method consists of three stages: hole repairing for the 3D skull model, facial reconstruction with Radial Basis Function(RBF) deformation and texture mapping. A new advancing layer-wise solution algorithm and a template matching method are proposed for repairing big and particular holes on the skull model. The reference face model is then transformed to reconstruct the face model base on marked feature points on the skull model , and we improve the RBF deformation.. The experiments demonstrate the high efficiency and visual realism achieved in our approach.

作者: Ronghua Liang Yaolei Lin Li Jiang Jiarui Bao Xianping Huang

作者单位: College of Computer Science, Zhejiang University of Technology, Hangzhou, 310032, China

会议类型: 国际会议

会议名称: 11th IEEE International Conference on Computer-Aided Design and Computer Graphics(第11届IEEE国际计算机辅助设计与图形学学术会议 IEEE CAD/GRAPHICS 2009)

会议地点: 黄山

会议语种:英文

页码: 602-605

在线出版日期: 2009-08-19（万方平台首次上网日期，不代表论文的发表时间）