摘要
光学照像测量技术的发展大大提高了逆向工程技术中的数据测量速度,使快速方便地获取包含被测物体更多细节的大量数据成为可能,但庞大的点云数据影响了模型重建的效率和质量。如何压缩散乱数据点已成为逆向工程中一个重要的研究课题,本文在介绍光学照像原理的基础上,分析常用数据压缩方法以及一种以八叉树原理为基础的的数据压缩算法。
Reverse engineering is widely used in automobile body design .With a development of laser scanner, we can obtain a large amount of point data of the surface. But not all the points are useful for surface reconstruct . So point data reduction has become an important subject in reverse engineering. The paper introduces the theory of the study on optical measurement and point data reduction, then presents a new algorithm based on Octree Structure.
出处
《影像技术》
CAS
2006年第3期22-25,共4页
Image Technology
关键词
光学照相
逆向工程
点云
数据压缩
八叉树原理
optical measurement
reverse engineering
point data cloud
point data reduction
Octree