@inproceedings{9f325ca9e0c64966878025a6961cf21e,
title = "An error compensation method for 3D measurement of step edge in fringe projection profilometry",
abstract = "Fringe projection profilometry is an efficient, fast and non-contact 3D measurement technique, widely used in industrial parts measurement. However, invalid phases are common when measuring step edges such as holes, ribs and steps in industrial parts which leads to outliers in reconstructed point cloud and ultimately causes reduction of valid point cloud and dimensional measurement errors. In this paper, an error compensation method on 3D measurement of step edge is proposed. 3D measurement space is firstly divided into multiple subspaces based on binocular camera system parameters. Then a calibration method is proposed to calculate the amount of compensation for each subspace and obtain parameters of edge error model. After calibration, point cloud of object with step edge is reconstructed by projecting phase-shifting structured light fringe patterns. By using Principal Component Analysis (PCA), normal estimation of point cloud is implemented. And edge feature is extracted with combination of eigenvalues variation of the covariance matrix and first- and second-order fitting based on two-dimensional projection. At the same time, the corresponding deviation amount of each edge point is solved on the basis of aforementioned edge error model. Finally, the accurate step edge is obtained after error compensation according to the normal direction and deviation amount. Experimental results show that, the method proposed can effectively improve the 3D measurement accuracy of step edge.",
keywords = "3D measurement, Step edge, accuracy, error compensation, fringe projection profilometry",
author = "Lu Wang and Hongzhi Jiang and Huijie Zhao and Xudong Li and Yuxi Li",
note = "Publisher Copyright: {\textcopyright} 2022 SPIE.; 2022 International Conference on Optical and Photonic Engineering, icOPEN 2022 ; Conference date: 24-11-2022 Through 27-11-2022",
year = "2023",
doi = "10.1117/12.2666745",
language = "英语",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Chao Zuo and Shijie Feng and Haixia Wang and Qian Kemao",
booktitle = "International Conference on Optical and Photonic Engineering, icOPEN 2022",
address = "美国",
}