Shape Isophotic Error Metric Controllable Re-Sampling for Point-sampled Surfaces

摘要：

Shape simplication and re-sampling of underlying point-sampled surfaces under userde ned error bounds is an important and challenging issue. Based on the regular triangulation of the Gaussian sphere and the surface normals mapping onto the Gaussian sphere, a Gaussian sphere based re-sampling scheme is presented that generates a non-uniformly curvature-aware simplication of the given point-sampled model. Owing to the theoretical analysis of shape isophotic error metric for did that Gaussian sphere based sampling, the proposed simplication scheme provides a convenient way to control the re-sampling results under a user-specied error metric bound. The novel algorithm has been implemented and demonstrated on several examples.

关键词： point-sampled surfaces isophotic error metric Gaussian sphere error metric controllable re-sampling

作者: Yongwei Miao Pablo Diaz-Gutierrez Renato Pajarola M.Gopi Jieqing Feng

作者单位: State Key Laboratory of CAD & CG, Zhejiang University, Zhejiang 310027, China College of Science, Zh Department of Computer Science, University of California, Irvine, CA 92697-3425, USA Department of Informatics, University of Zürich, Zürich 8050, Switzerland State Key Laboratory of CAD & CG, Zhejiang University, Zhejiang 310027, China

会议类型: 国际会议

会议名称: IEEE International Conference on Shape Modeling and Applications (SMI)(2009年形状建模国际会议)

会议地点: 北京

会议语种:英文

页码: 28-35

在线出版日期: 2009-06-26（万方平台首次上网日期，不代表论文的发表时间）