摘要
详细回顾了逆向工程中点云数据压缩算法的国内外研究现状,并从大量的数据重建模型所带来的问题比如计算复杂,时间长,占用大量的内存空间等方面比较各种已有算法的优势,具体论述了它们的应用范围,并基于数据点的排列方式上指出每种方法的局限性,进而在已有八叉树的均匀细分方法的基础上提出了利用三维网格进行数据精简的八叉树非均匀细分方法,保证保留任何形式的边界数据点,提高压缩后数据点的精度,最后给出了流程图.
The present research condition of the reverse engineering middle point cloud data to compress the domestic and international calculate way is summarized. It has advantages comparing to the problems such as the calculations of complex, time, a lot of hard disk space occupied from large reconstruction models. Their specific application is discussed, and the limitations of each method based on data points sequencing methods are pointed out. A new method of octree non-uniform subdivision by using 3D mesh to reduce data is proposed. It ensures the retention of any form border data points and improves the precision of data compressed. Then, the flowchart is given.
出处
《江苏大学学报（自然科学版）》
EI
CAS
北大核心
2006年第B09期35-37,51,共4页
Journal of Jiangsu University：Natural Science Edition
基金
吉林省科技发展计划项目(20050534)
关键词
逆向工程
数据压缩
八叉树
三维网格
contrary engineering
the data compress
octrees
3D mesh
