基于条纹图相位匹配的立体测量技术研究

Research on Stereo Measurement Technology Based on Fringe Pattern Phase Matching

基于多相机机器视觉的三维测量技术,需要在被测物体表面寻找特征点,根据特征点在各相机中图像位置的不同来确定其在空间中的三维坐标。如果被测物体特征点不明显,又或者较少的话,需要人为粘贴标记点。因此,测量结果的分辨率不高、测量过程也比较烦琐。通过条纹投影给被测空间添加二维相位分布,以此来实现对被测物体连续的特征点标记将能够解决上述问题。文章详细介绍了该技术中的相机标定、全局相位求解以及面形复原全过程,可为机器视觉在三维测量中的应用提供借鉴。

3D measurement technology based on multi camera machine vision needs to find feature points on the surface of the measured object.According to the image position corresponding to the feature point in different cameras,the spatial three-dimensional coordinates of the feature point are determined.If the feature points of the measured object are not obvious or there are few feature points,it is necessary to manually paste the marked points as the feature points.Therefore,the resolution of the measurement results is not high,and the measurement process is cumbersome.The two-dimensional phase distribution is added by projecting the fringe pattern to the measured space.In order to realize the continuous feature point marking of the measured object,the above problems can be solved.This paper introduces the whole process of camera calibration,global phase solution and surface shape restoration in detail.It provides a reference for the application of machine vision in three-dimensional measurement.