Extracting Features from Point Set Model

摘要：

This paper present an method for feature extrac tion from point set.Our algorithm use principle curvatures to flag potential feature points. Using an improved weight sensitive moving least squares,we developed a new approach to detect potential feature curves.The potential feature points are enhanced by projecting the points onto the local potential feature curves. Then smooth the projected points by employing an optimized principal covariance analysis approach. Finally achieve smooth feature curves after resolving gaps and relaxing the results.

关键词： feature extraction feature enhancement point set MLS

作者: Xu-Fang Pang Ming-Yong Pang

作者单位: Department of Educational Technology, Nanjing Normal University No.122, Ninghai Ave, Nanjing 210097, Jiangsu, P. R. China

会议类型: 国际会议

会议名称: 2009 Second International Conference on Intelligent Computation Technology and Automation(2009 第二届IEEE智能计算与自动化国际会议 ICICTA 2009)

会议地点: 长沙

会议语种:英文

页码: 595-599

在线出版日期: 2009-10-10（万方平台首次上网日期，不代表论文的发表时间）