Algorithm of rivet contour extraction for aircraft body structure based on 3D point cloud

LI Hong-wei
（AVIC. XI'AN Aircraft Industry（Group）Company LTD., Xi'an 710089, China）

Abstract: Aiming at the automatic extraction of rivets from point clouds scanned on aircraft skin surface, the density calculation of point clouds, clustering of point clouds based on region growth, principal component analysis projection and random consistent sampling circle fitting were studied. High-precision three-dimensional laser scanning was carried out on the body structure area to measure riveting quality, and the three-dimensional point cloud information of the relevant area was obtained. Then all point clouds were traversed, and the local adaptive density of each point was calculated to screen out the high-density point cloud area. The significance of rivet contour point cloud was further increased, the traditional calculation method of point cloud density was improved, and a local adaptive density calculation method was proposed. A single rivet contour point cloud was extracted by using the region growing clustering method. Finally, for a single rivet contour point cloud, the principal component analysis projection was used. After technical processing, random consistent sampling circle fitting was performed. The results indicate that the algorithm can effectively improve the saliency of rivet contour and realize the automatic extraction of rivet contour point cloud.
Key words: 3D point cloud; rivet; point cloud density; random consistent sampling