重复性结构零件的三维重建

3D reconstruction of duplicate structural parts

为了提高重复性结构零件的三维重建精度,本文提出一种基于运动恢复结构(structure from motion,SfM)的改进算法,首先在特征点检测和匹配阶段提出了一种基于匹配点空间相关的方法来剔除错误匹配,然后在三维重建阶段利用冲突度量算法对三维结构恢复的稀疏点云进行优化。实验结果表明,本文提出的改进方法能有效减少错误的特征匹配点,重复性结构零件的三维重建准确度有所提升。

In order to improve the accuracy of 3D reconstruction of duplicate structural parts,an improved algorithm based on structure from motion(SfM)was proposed.At first,during the feature point detection and matching stage,a method based on the spatial correlation of matching points was proposed to eliminate erroneous matches;then a conflict measurement algorithm was applied during the 3D reconstruction stage to optimize the sparse point cloud for 3D structure recovery.It is experimentally demonstrated that the improved method proposed in this paper can effectively reduce the wrong feature matching points,and improve the accuracy of 3D reconstruction of duplicate structural parts.