Method for compressing point cloud according to curvature standard

被引:0
|
作者
Guo, HaoYu [1 ]
Yan, Liang [1 ]
机构
[1] Beihang Univ BUAA, Sch Automat Sci & Elect Engn, Beijing 100191, Peoples R China
来源
PROCEEDINGS OF THE 2019 14TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA 2019) | 2019年
基金
国家重点研发计划; 中国国家自然科学基金;
关键词
Unordered point cloud; B-spline surface differentiation; Surface curvature; Non-uniform compression;
D O I
10.1109/iciea.2019.8834356
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This paper is concerned with the problem of compress point cloud based on the surface curvature. In order to compress the point cloud and accelerate the processing speed of the computer, we proposes a non-uniform compression method based on the normal vector and the curvature of the surface of the point cloud. The curvature is estimated by applying the B-spline surface differentiation method. The reduction rate is small on the surface with large curvature and complexity, and the compression rate is large in the plane with small curvature change rate. The compression method proposed in this paper preserves the topography of the object while compressing the point cloud, and has strong applicability to objects with complex surfaces. An experiment is performed to verify the effectiveness the compression.
引用
收藏
页码:932 / 936
页数:5
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