| 基于遗传算法的点云数据与CAD模型坐标归一化研究 |
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| 引用本文： | 张学昌,习俊通,严隽琪,杨广全.基于遗传算法的点云数据与CAD模型坐标归一化研究[J].系统仿真学报,2006,18(9):2497-2500. |
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| 作者姓名： | 张学昌 习俊通 严隽琪 杨广全 |
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| 作者单位： | 1. 上海交通大学机械工程与动力学院,上海,200030;郑州轻工业学院机电工程系,郑州,450002
2. 上海交通大学机械工程与动力学院,上海,200030 |
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| 基金项目： | 国家自然科学基金;上海市汽车工业科技发展基金 |
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| 摘 要： | 用非接触测量方法进行复杂型面零件数字化检测,点云数据与CAD模型的坐标归一化处理是必须的。针对传统的ICP(Iterative Closest Point)方法在坐标归一化过程中对初始点要求严格及由于型面的特殊性所造成的算法不能收敛问题,采用遗传算法对点云与CAD模型进行坐标归一化,由于遗传算法具有全局收敛性及对初始位置要求不严格,所以用该方法能使点云与CAD模型达到正确的配准。并以具体的实例验证了算法的可行性。
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| 关 键 词： | 坐标归一 遗传算法 配准 曲面检测 |
| 文章编号： | 1004-731X（2006）09-2497-04 |
| 收稿时间： | 2005-07-05 |
| 修稿时间： | 2005-11-28 |
Study of Registration Pont Cloud to CAD Model Based on Genetic Algorithm |
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| ZHANG Xue-chang,XI Jun-tong,YAN Jun-qi,YANG Guang-quan.Study of Registration Pont Cloud to CAD Model Based on Genetic Algorithm[J].Journal of System Simulation,2006,18(9):2497-2500. |
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| Authors: | ZHANG Xue-chang XI Jun-tong YAN Jun-qi YANG Guang-quan |
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| Institution: | 1.School of Mechanical Engineering, Shanghai Jiaotong University, Shanghai 200030, China; 2.School of Mechanical and Electricity, Zhengzhou Institute of Light Industry, Zhengzhou 450002, China |
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| Abstract: | It is necessary to have the same coordinate frame of the point cloud and the CAD model, while a complex surface of part is inspected by a no-contact measurement sensor. The traditional Iterative Closest Point(ICP) method needs a good initial position of the point cloud and may not be convergent owing to the special shape of the complex surface. The genetic algorithm has some good features such as no needing a good initial value, global convergence. So the genetic algorithm was adopted to register the measurement point cloud and the CAD model. Experimental results indicate that the method is robust and efficient. |
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| Keywords: | Unitary coordinate Genetic algorithm Registration Surface inspection |
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