【摘要】 针对目前点云自动匹配效率低,拼接精度还有待提高,提出了一种自动匹配标志点的拼接算法。首先根据标志点之间的空间特征不变性,引入一种动态距离矩阵来记录搜索标志点间的距离,通过循环迭代比对动态距离矩阵来匹配标志点;然后采用最小二乘法求解坐标变换矩阵进行多视点云拼接。通过实验对比,可以发现本文的点云拼接算法明显优越于传统的方法,最后引入拼接精度进行验证。多视点云拼接实验表明,该方法方便、快捷、实用,拼接精度达0.0179mm,适合在工业生产中使用。更多还原

【Abstract】 Aiming at the low automatic matching efficiency of point clouds, the stitching precision remains to be improved,in this paper,a stitching algorithm of automatic matching marked point is put forward. Firstly,according to the space invariant feature among marked point, a dynamic distance matrix is introduced to record the distance of marked points that are searched,marked points are matched by using cyclic iterative method to compare dynamic distance matrix. Finally,the multi-view point clouds are stitched by using the method of least squares to solve the coordinate transformation matrix.Through the experimental comparison,the point cloud registration algorithm is obviously superior to the traditional method,finally stitching precision is verified. Multi-view point clouds stitching experiments show that the method is convenient, fast and practical and suits for industrial production, and the stitching precision of0.0179mm can be achieved.更多还原