Research on calibration technique of camera coordinate system for binocular stereo vision system base on least-square method

Author:

li shengqian1,zhang xiaofan2

Affiliation:

1. Guangdong Mechanical & Electrical Polytechnic

2. Guangdong Polytechnic Normal University

Abstract

Abstract

Index of the application for a binocular visual system. According to the measurement results of a binocular vision system is mainly used relative measuring accuracy to verify, but that can't be achieved to verify by artificial specific measurement, and also this work is measured in camera coordinate system, because of the camera's optical center couldn't be located, for the problem that where is the specific camera coordinate system, that can't give a specific location, but only giving the definition of a concept. In order to solve these problems, a calibration transformation method of the camera coordinate system based on the least square method is proposed, this method mainly through calibration of the camera coordinate system transforms to a presetting specific existence and positioning coordinate system. Meanwhile, by making the optical axis through the geometric center of a camera lens, then the accuracy of the binocular vision measurement system can be verified in the coordinate system. Finally, the result of the experiment shows that the proposed method is correct and effective to calibrate camera coordinate system, the accuracy of calibration is more higher, and the requiring equipment for verification is very simple.

Publisher

Research Square Platform LLC

Reference21 articles.

1. Robust and Autonomous Stereo Visual-Inertial Navigation for Non-Holonomic Mobile Robots[J];Chae HW;IEEE Transactions on Vehicular Technology,2020

2. 3D visual technology applied for the reconstruction of a Paleolithic workshop[J];Zangrossi F;Journal of Archaeological Science: Reports,2019

3. Unsupervised part-based scene modeling for visual robot localization[J];Kanji T;Journal of Advanced Computational Intelligence & Intelligent Informatics,2015

4. Humanoid Robot's Visual Imitation of 3-D Motion of a Human Subject Using Neural-Network-Based Inverse Kinematics[J];Hwang CL;IEEE Systems Journal,2016

5. Finn C, Levine S. Deep Visual Foresight for Planning Robot Motion[J]. 2017, 12–24.

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