• CN:11-2187/TH
  • ISSN:0577-6686

›› 2006, Vol. 42 ›› Issue (2): 115-118.

• 论文 • 上一篇    下一篇

基于非均匀热传导理论的点云数据平滑处理

张学昌;习俊通;严隽琪   

  1. 上海交通大学机械工程与动力学院
  • 发布日期:2006-02-15

SMOOTHING OF POINTCLOUD BASED ON ANISOTROPIC HEAT DIFFUSION

ZHANG Xuechang;XI Juntong;YAN Junqi   

  1. School of Mechanical Engineering, Shanghai Jiaotong University
  • Published:2006-02-15

摘要: 在逆向工程和自由曲面数字化检测过程中,针对面点云及散乱点云数据平滑与特征信息准确保留的矛盾及噪声点的传播问题,引入非均匀热传导理论建立点云平滑数学模型,将点云数据拟化为一个温度场,点云特征边界处可设定为绝热壁,从而使平滑操作仅在局部区域内进行,使平滑操作与特征信息的保留达到很好的协调。试验结果证明该方法具有鲁棒性强,及在点云平滑的过程中能够完整保持特征边界信息的特点,为后续的逆向建模及自由曲面数字化检测提供了可靠的质量保证。

关键词: 点云去噪, 逆向工程, 平滑, 热传导, 响应时间, simulink, 动态仿真, 换热器, 有机朗肯循环

Abstract: There are two problems of smoothing of a pointcloud, which is the dilemma between moving noise points and keeping the characteristic boundary, the expanding of noise points, during the reverse engineering and free-form surface measure- ment. The principle of anisotropic heat diffusion is adopted to develop a mathematic model of pointcloud’s smoothing. A pointcloud can be considered as a field of temperature field, boundary as adiabatic. So the smoothing is only on the local area and makes a good balance between moving noise points and keeping the characteristic boundary. Experimental results indicate that the method is robust. It gives a reliable guarantee for next modeling and free-from surface measurement.

Key words: Heat diffusion, Pointcloud denoise Reverse engineering, Smoothing, Dynamic Simulation, Heat Exchanger, response time, Simulink, Organic Rankine Cycle

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