摘要
将计算机技术应用于复杂曲面的数字化检测,测量点云与CAD模型的配准是其中的关键技术。笔者运用遗传算法实现了测量点云与CAD模型的配准,在目标函数的建立过程中,通过对CAD模型的三角面片化和对测量点参考球的建立,来避免测量点云与CAD模型的距离计算的复杂化,从而提高算法的运算效率。该方法具有全局收敛性及对初始位置要求不严格的特点。
To apply computer technology to the digitization and inspection of the complex surface,the registration of the measurement point cloud and its CAD model is a key technology.In this paper,genetic algorithm is adopted to register the measurement point cloud and the CAD model.In the process of establishing the objective function,triangular patches of the CAD model and reference balls are used to avoid the calculating complication of the distance between the measurement point cloud and the CAD model.It improves the operating efficiency of the method.The introduction of genetic algorithm bring good features such as no initial value and global convergence.The experimental result of blade data indicates that the method is robust and efficient.
出处
《机械科学与技术》
CSCD
北大核心
2010年第6期809-812,816,共5页
Mechanical Science and Technology for Aerospace Engineering
关键词
遗传算法
点云配准
三角面片
参考球
genetic algorithm
point cloud registration
triangular patch
reference ball
