A Novel Feature Points Selection Algorithm for 3D Triangular Mesh Models

摘要：

As an important technique of 3D (Threedimensional) mesh model retrieval and partition,feature points are widely used to describe the intrinsic characteristics of 3D surfaces.In this paper,a novel feature points selection algorithm is proposed for 3D triangular mesh models.Detecting from the sudden variation regions of the 3D mesh models,feature points selected by our algorithm carry the significant information and possess the global geometry characteristic of the models.Experimental results show that the selected feature points are robust against attack operations on the mesh models such as mesh simplification and adding noise.

作者: Zhou Z.D. Ai Q.S. Liu Q. Yang L. Xie S.Q. Chen Y.H.

作者单位: School of Information Engineering,Wuhan University of Technology,122 Luoshi Road,Hongshan District,W Department of Mechanical Engineering,University of Auckland,Private Bag 92019,Auckland,New Zealand

会议类型: 国际会议

会议名称: 9th International Conference on Signal Processing(第九届国际信号处理学术会议)(ICSP08)

会议地点: 北京

会议语种:英文

在线出版日期: 2008-10-26（万方平台首次上网日期，不代表论文的发表时间）