摘要
逆向工程中,随着三维扫描测量技术的迅速发展以及基于海量采样点云数据的高精度模型的产生,使得快速有效地处理点云这一技术显得更加重要。点云的去噪和光顺是法矢估计、曲率计算及曲面重建等后续处理工作的重要基础,依据散乱数据点云中的噪声点的特点,对其进行分类,并提出一种新的基于曲面拟合及噪声特点分步去噪的方法。
In reverse engineering,with the development of 3D-scanning technology and the appearance of large amount of high- precision modeling, the algorithm of how to process the points cloud quickly is becoming very important. Especially, the denoising and smoothing of points cloud is the foundation of many successive work, such as normal vector estimation, curvature calculate, surface reconstruction and so on. The noise in the unorganized point cloud is classified according its features, and a new way based on surface fitting is proposed, which is step by step to eliminate the noise of points cloud.
出处
《现代制造工程》
CSCD
2008年第6期90-93,共4页
Modern Manufacturing Engineering
基金
黑龙江省普通高等学校青年学术骨干支持项目(1152G036)
黑龙江省自然科学基金重点项目(ZJG0607-01)
关键词
逆向工程
点云
去噪
曲面拟合
Reverse engineering
Points cloud
Denoising
Surface fitting
