Laser & Optoelectronics Progress, Volume. 56, Issue 14, 141102(2019)

Simple Calibration Method for Three-Dimensional Imaging System with Structured Light

Han Zhang1, Guoqi Bao2, and Kai Liu1、*
Author Affiliations
  • 1 College of Electrical Engineering, Sichuan University, Chengdu, Sichuan 610065, China
  • 2 Guangdong Provincial Public Security Department, Guangzhou, Guangdong 510050, China
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    To achieve a simple and fast calibration of parameters for three-dimensional imaging system with structured light, a method of obtaining a large number of calibration data using a homography matrix is presented. First, the image coordinates and the corresponding world coordinates of the rectangular corner points on the left and right sides of a stereo target are obtained, and the homography matrices of the left and right sides of the target surface from the image coordinates to the world coordinates are then calculated respectively. Next, all the pixels in the rectangular frame of the stereo target in the image are applied to the calculated homography matrix to obtain the corresponding world coordinates. Finally, we calibrate the three-dimensional imaging system using the image coordinates of nearly all the pixels on the target surface of the stereo target in the image and the corresponding world coordinates. A stereo target corresponding to the proposed calibration method is designed. Based on the stereo target, the three-dimensional imaging system with structured light is calibrated and experiments are carried out using the calibrated system. The experimental results show that the calibration method has high calibration accuracy, the reconstructed three-dimensional point cloud image has a good visual effect, and the calibration process is simple, which reduces the cost of calibration and is valuable for practical applications.

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    Han Zhang, Guoqi Bao, Kai Liu. Simple Calibration Method for Three-Dimensional Imaging System with Structured Light[J]. Laser & Optoelectronics Progress, 2019, 56(14): 141102

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    Paper Information

    Category: Imaging Systems

    Received: Dec. 7, 2018

    Accepted: Feb. 22, 2019

    Published Online: Jul. 12, 2019

    The Author Email: Liu Kai (kailiu@scu.edu.cn)

    DOI:10.3788/LOP56.141102

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