| 反求工程中残缺点云建模方法研究 |
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| 引用本文： | 彭林法,金隼,徐强,来新民.反求工程中残缺点云建模方法研究[J].汽车工程,2005,27(5):626-630. |
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| 作者姓名： | 彭林法 金隼 徐强 来新民 |
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| 作者单位： | 上海交通大学车身制造中心,上海,200030 |
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| 基金项目： | 国家863计划项目（2003AA411210）资助. |
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| 摘 要： | 针对反求工程中残缺点云建模问题，把点云按残缺的位置和特征进行分类，并利用规则曲面重构、不规则NURBS曲面拟合以及神经网络曲面构造相结合的方法，提出了一些针对残缺点云建模关键的算法。工程实践表明这些方法简单、实用，生成的曲面CAD模型满足曲面连续性和光顺性的要求，能获得满意的设计效果。
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| 关 键 词： | 点云 反求工程 曲面重构 神经网络 建模方法 NURBS CAD模型 曲面拟合 工程实践 设计效果 |
| 收稿时间： | 2004-06-29 |
| 修稿时间： | 2004-06-292004-09-27 |
Modeling Methods for Incomplete Point Cloud in Reverse Engineering |
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| Peng Linfa,Jin Sun,Xu Qiang,Lai Xinmin.Modeling Methods for Incomplete Point Cloud in Reverse Engineering[J].Automotive Engineering,2005,27(5):626-630. |
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| Authors: | Peng Linfa Jin Sun Xu Qiang Lai Xinmin |
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| Institution: | Auto-Body Manufacturing Center, Shanghai Jiaotong University, Shanghai 200030 |
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| Abstract: | The fragmentary point clouds are classified according their positions and features. Using the modeling methods for regular surface and irregular NURBS surface and combining with neural network technology, some key algorithms for modeling incomplete point clouds are put forward. Engineering practice shows that these methods are simple and practical. The generated CAD surface model meets the requirements of continuality and smoothness of surfaces, resulting in satisfactory design effects. |
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| Keywords: | Point cloud Reverse engineering Surface reconstruction Neural network |
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