A Point Sets Smoothing Algorithm Using Curvature Flow

摘要：

we present a method for anisotropic fairing of point sets, which based on the covariance analysis and the efficiently constructed curvature. We use principal curvatures to detect features such as edges. Anisotropic curvature flow allows prominent surface features and other details of the objects to be treated in different ways. It is able to retain and even enhance important features such as edges and corners on the surface. We define such a diffusion flow which allows the point moving along the normal with a speed equal to the curvature. Since the point is moved along the normal direction, the proposed curvature flow will not introduce undesirable points drifting over the surface.

关键词： point-sampled geometry anisotropic diffusion flow curvature flow

作者: Xiao-Ye Cao Zhi-Yan Wang Yan-Qing Zhang

作者单位: College of Computer Science and Technology South China University of Technology Guangzhou, China

会议类型: 国际会议

会议名称: 第三届IEEE无线通讯、网络技术暨移动计算国际会议

会议地点: 上海

会议语种:英文

在线出版日期: 2007-09-21（万方平台首次上网日期，不代表论文的发表时间）