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点云数据的曲面重构新算法

New Algorithm of Surface Reconstruction From Data Cloud

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【作者】 刘伟军孙玉文刘健

【Author】 LIU Wei-jun SUN Yu-wen (Robotics Laboratory, Shenyang Institute of Automation, Chinese Academy of Science, Shenyang 10016, China) LIU Jian (School of Mechanical Engineering, Dalian University of Technology, Dalian 116024, China)

【机构】 中科院沈阳自动化所机器人学开放实验室! 沈阳110016大连理工大学机械工程学院! 大连116024

【摘要】 针对采用视觉测量方式得到的点云数据特点,提出了基于动力学数值仿真的网格曲面逼近方法。依据曲面曲率变化特性,该方法可对点云数据进行自适应压缩,并能显著提高逼近网格的品质,从而实现了点云数据的精确曲面重构。实际的算例结果表明,该方法实用可靠。

【Abstract】 For the large-scale data cloud, an algorithm of triangular patch approximation, based on the dynamic simulation, is presented in this paper. According to the change characteristics of surface curvature, the large-scale data cloud can be reduced to the reasonable scale and well-shaped triangles can also be created by this approach. Thus the precise reconstruction of data cloud is realized. The experimental results testify that the approach is feasible.

【基金】 中科院沈阳自动化研究所开放基金资助项目
  • 【文献出处】 工程图学学报 ,Journal of Engineering Graphics , 编辑部邮箱 ,2001年02期
  • 【分类号】TP391.72
  • 【被引频次】19
  • 【下载频次】378
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