Refined adaptive meshes from Scattered Point Clouds

摘要：

　　This paper presents a new method for adaptive mesh generation from scattered point clouds.We develop new techniques for extracting geometric features from scattered point clouds.In addition,we present how to incorporate these geometric features into implicit mathematical models for fitting scattered,noisy point clouds.This method is also well suited for large and potentially noisy scattered point clouds.Our numerical experiments show that the new adaptive mesh generation algorithms can improve the accuracy of the mesh generation from computed tomography(CT)images.

关键词： mesh generation scattered data point clouds Thresholding

作者: Lamei Yan Youwei Yuan Xiaohong Zeng M.Mat Deris

作者单位: School of Media and Design,Hangzhou Dianzi University School of Computer Science and Technology,Hangzhou Dianzi University Hangzhou,310018,China Department of Science and Technology,Hunan University of Technology Zhuzhou,412008,China Faculty of Information Technology and Multimedia,University Tun Hussein Onn Malaysia Kuala Lumpur,Ma

会议类型: 国际会议

会议名称: The 12th International Symposium on Distributed Computing and Applications to Business,Engineering and Science(DCABES 2013)(第十二届分布式计算及其应用国际学术研讨会)

会议地点: 英国伦敦

会议语种:英文

页码: 247-249

在线出版日期: 2013-09-02（万方平台首次上网日期，不代表论文的发表时间）