光学精密工程2025，Vol.33Issue(22)：3475-3488,14.DOI:10.37188/OPE.20253322.3475
基于改进边界点排斥的激光点云模型孔洞修复
Hole repair for laser point cloud models based on improved boundary point repulsion
摘要
Abstract
Three-dimensional laser scanning efficiently constructs accurate 3D models.However,holes often form in point clouds when measuring objects with concave surfaces or narrow gaps due to light occlu-sion.These holes compromise model integrity and hinder subsequent applications.Traditional repair methods rely heavily on interpolation or surface fitting,which frequently results in non-uniform curvature and loss of detail in the repaired regions.This paper aimed to address these limitations.We proposed an improved hole identification and repair method based on boundary point repulsion.Firstly,the point cloud distribution was optimized using a Weighted Local Optimal Projection(WLOP)algorithm.Subsequent-ly,hole boundaries were accurately identified by combining normal vector analysis with local density con-straints.Maximum angle screening was employed to eliminate false boundary points,preventing misclassi-fication of high-curvature areas as holes.Furthermore,a dynamic repulsion force field model was de-signed.A filling path was generated by leveraging the topological relationships of single-ring neighboring points,ensuring geometric consistency between the repaired and original point clouds.Finally,median fil-tering was applied to achieve smoothness consistency between the repaired hole area and the overall point cloud.Experimental results demonstrate the effectiveness of our method.It successfully identified and re-paired various types of holes on multiple complex models.On the challenging Camel model,the repair rate reached 98.7%,and the point cloud density difference before and after repair was only 4.2%.The re-pair time was significantly shorter than that of LS-SVM,Poisson,PU-Net,and SeedFormer methods,being only 11.7%of the time required by SeedFormer.The proposed method exhibits significant advan-tages in preserving geometric structure and repairing details.It provides an efficient and reliable solution for laser point cloud hole repair.关键词
激光点云/孔洞识别/点云修复/边界点排斥Key words
laser point cloud/hole identification/point cloud repair/boundary point repulsion分类
信息技术与安全科学引用本文复制引用
LAN Qiuping,MA Qinghua,MEI Hong,ZHOU Zhenyu,LI Jia..基于改进边界点排斥的激光点云模型孔洞修复[J].光学精密工程,2025,33(22):3475-3488,14.基金项目
国家自然科学基金(No.41201439,No.41301406) （No.41201439,No.41301406）
河海大学大型仪器设备共享基金(No.GX202401A) （No.GX202401A）
