【摘要】 为了对通过非接触式三维测量获得的汽车覆盖件模具型面点云进行数据精简,提出一种基于平均点距值原理的精简方法。该方法根据用户设定的采样立方体边长,采用八叉树分割算法分割数据,在分割得到的各子立方体内计算并比较平均点距值,根据其大小判断点云密度,据此可删除多余的数据点。更多还原

【Abstract】 In order to reduce the data point-cloud of auto panel die’s surface acquired by non-contact 3D measurement, a kind of data reduction method is presented based on the average point-to-point distance principle. According to the side length of cube defined by user, the data is divided into sub-cubes by using oct-tree segmentation algorithm, then average point-to-point distance of each cube is calculated and compared, by which the density of point-cloud in each cube can be confirmed and unwanted data points can be deleted.更多还原