现代电子技术2011，Vol.34Issue(22)：1-3,10,4.
基于曲率的主分量分析及应用
Curvature-based Principal Component Analysis and Application
摘要
Abstract
A primary component analysis algorithm on account of curvature is propsed to compress the data of 3D point cloud. The primary curvature, Gaussian curvature and average curvature of each point is calculated. The point cloud data is mapped to the curvature space to extract the primary component of the curvature space. The point cloud data is compressed. Test results show that this algorithm has a perfect compression performance. The innovation of the paper is that PCA algorithm is introduced into compression of 3D point cloud data. The algorithm conquered the disadvantages of the traditional PCA method.关键词
曲率/主分量分析/数据压缩/三维数据Key words
curvature/PCA( primary component analysis)/data compression/3D data分类
信息技术与安全科学引用本文复制引用
唐民丽,王伟,吴恒玉..基于曲率的主分量分析及应用[J].现代电子技术,2011,34(22):1-3,10,4.基金项目
国家自然科学基金资助项目(60963025) （60963025）
海南省自然科学基金资助项目(610230) （610230）
