Existing laser scanning approaches for highly reflective surfaces generally require multiple scans to cope with specular reflection. This paper proposes a dual-camera, line-laser scanning strategy to reconstruct them efficiently, which only needs a single scanning path. To bypass complicated point cloud processing algorithms for outlier elimination, a feasible image processing scheme was designed to delete the disturbed stripe regions. By merging two sets of point clouds computed from residual stripes on a common world frame, these removed noise patches can be compensated by the opposite camera. Therefore, the data fusion result can reconstruct the 3D geometry of targets completely. Experimental results demonstrate good performance with the ability to handle highly reflective surfaces. The scanning period is significantly shortened and scanning accuracy can meet the industrial requirement.

用于高反射表面的现有激光扫描方法通常需要多次扫描以应对镜面反射。本文提出了一种双摄像头、线激光扫描策略来有效地重建它们，只需要一条扫描路径。为了绕过复杂的点云处理算法进行异常值消除，设计了一种可行的图像处理方案来删除受干扰的条纹区域。通过合并从公共世界框架上的残余条纹计算的两组点云，这些去除的噪声块可以由相反的相机补偿。因此，数据融合结果可以完整地重建目标的 3D 几何结构。实验结果表明具有处理高反射表面的能力的良好性能。