面向复杂形面匹配的边界特征提取方法

A method on boundary feature extraction of complex surface fitting

摘要:

针对车身封闭件装配过程中的匹配优化问题，提出一种面向复杂形面匹配的边界特征提取方法. 对匹配边界特点进行分析，确定边界点的提取信息、采样间距大小及其搜索邻域. 对采样后的点云数据，建立k-d树进行索引. 对采样点在搜索邻域内的邻近点建立最小二乘微切平面，利用投影到微切平面局部坐标系内的邻近点分布特性，判断边界特征点及其匹配特征. 案例分析验证了该方法在处理复杂形面匹配边界特征点提取时的有效性，在不影响匹配效果的前提下，本文方法可显著提高复杂形面边界特征的提取效率.

Abstract:

A method on boundary feature extraction of complex surface fitting was proposed due to the fitting optimization during the assembly of auto-body closure parts. The extraction objects, sampling size and searching neighbor were decided based on the fitting boundary features. Point cloud was sampled and constructed by k-d tree. The points within the searching neighbors were projected to their least square tangent plane and the boundary points with fitting features could be extracted by judging the distribution. A case study was conducted to prove the effectiveness and efficiency of this method.