Self-calibration for linear structured light 3D measurement system based on quantum genetic algorithm and feature matching

被引：7

作者：

Pan, Xinjian ^{[1
]}

Wu, Jieying ^{[1
,2
]}

Li, Zhili ^{[1
]}

Yang, Jianjun ^{[1
]}

Zhang, Chongfu ^{[1
]}

Deng, Chunjian ^{[1
]}

Yi, Zichuan ^{[1
]}

Gao, Qingguo ^{[1
]}

Yu, Miao ^{[1
]}

Zhang, Zhi ^{[1
]}

Liu, Liming ^{[1
]}

Chi, Feng ^{[1
]}

Bai, Pengfei ^{[2
]}

机构：

[1] Univ Elect Sci & Technol China, Coll Elect & Informat Engn, Zhongshan Inst, Zhongshan Branch,State Key Lab Elect Thin Films &, Zhongshan 528402, Peoples R China

[2] South China Normal Univ, Guangdong Prov Key Lab Opt Informat Mat & Technol, South China Acad Adv Optoelect, Guangzhou 510006, Peoples R China

来源：

OPTIK | 2021年 / 225卷

基金：

国家重点研发计划;

关键词：

Linear structured light; Self-calibration; Camera calibration; Light-plane calibration; Quantum genetic algorithm;

D O I：

10.1016/j.ijleo.2020.165749

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

In this paper, a self-calibration method for a linear structured light 3D measurement system and its advantages are presented. According to the mathematical model of the linear-structured light 3D measurement system, the calibration problem is a highdimensional optimization problem. The principle of this self-calibration method can be drawn from a traditional calibration method. In this method, quantum genetic algorithm and feature matching are applied to self-calibration. Feature matching is used to derive two points with fixed spatial relationships, and an optimal solution of system parameters can be obtained by quantum genetic algorithm. Finally, experimental results are given. The measurement error is 0.05 mm and the ratio of the error to scanning distance is 1.54e-4.In this paper, a self-calibration method for a linear structured light 3D measurement system and its advantages are presented. According to the mathematical model of the linear-structured light 3D measurement system, the calibration problem is a high-dimensional optimization problem. The principle of this self-calibration method can be drawn from a traditional calibration method. In this method, quantum genetic algorithm and feature matching are applied to selfcalibration. Feature matching is used to derive two points with fixed spatial relationships, and an optimal solution of system parameters can be obtained by quantum genetic algorithm. Finally, experimental results are given. The measurement error is 0.05 mm and the ratio of the error to scanning distance is 1.54e-4.

引用

页数：10

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