集成技术2025，Vol.14Issue(1)：50-64,15.DOI:10.12146/j.issn.2095-3135.20240820001
基于点云投影的工业零部件边缘三维重建算法
Three Dimensional Reconstruction Algorithm of Industrial Component Edges Based on Point Cloud Projection
摘要
Abstract
The accurate reconstruction of industrial component edges is essential and crucial for visual positioning and quality inspection.To address the issue of difficulty in accurately reconstructing point clouds at the edges of industrial components,a three-dimensional edge reconstruction algorithm based on point cloud projection is proposed.First,the three-dimensional point cloud of the components is obtained by scanning using a binocular structured light method,edge points in the scanned point cloud are extracted.Then the image edge points are extracted from the binocular images.Subsequently,the point cloud edge points are projected onto the binocular images,the nearest image edge points are searched around each projected point to obtain corresponding binocular edge points.Finally,accurate three-dimensional edge point clouds are reconstructed using stereo vision methods.Experimental results demonstrate that compared to other current methods,this approach can effectively address the issue of false edges caused by interference such as reflection and surface scratches,the reconstructed edge point cloud using this method has high accuracy with reconstruction error less than 0.15 mm and can be applied in industrial scenarios such as bin picking,online quality inspection.关键词
点云投影/边缘提取/边缘匹配/三维重建Key words
point cloud projection/edge extraction/edge matching/three dimensional reconstruction分类
信息技术与安全科学引用本文复制引用
张铭凯,谷飞飞,肖振中,师少光..基于点云投影的工业零部件边缘三维重建算法[J].集成技术,2025,14(1):50-64,15.基金项目
国家自然科学基金项目(62105352) （62105352）
深圳市技术攻关重点项目(JSGG20220831092801003) This work is supported by National Natural Science Foundation of China(62105352),and Shenzhen Science and Technology Program(JSGG20220831092801003) （JSGG20220831092801003）
