基于虚拟双目视觉的高速摄像机自动标定系统
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TP274

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福州市科技项目“电器产品动态特性测试与性能评估”(2017-G-87)资助


Automatic calibration system for high speed camera based on virtual binocular vision
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    摘要:

    虚拟双目视觉测试是基于一台高速摄像机和两面平面镜实现物体的三维重建,重点需解决传统双目视觉测试存在的同步性和成本高的问题。摄像机内外部参数的标定是测试精度的重要保证,为解决标定过程需要人工干预、处理过程繁琐等问题,基于虚拟双目视觉原理和张正友标定法,设计了高速摄像机参数自动标定系统,通过外部触发电路控制安装在云台支架上的标定板自动转动,实现不同角度标定板图像的自动拍摄,通过OpenCV计算机视觉库对图像进行自动处理,得到高速摄像机的内外部参数,最后验证了高速摄像机自动标定系统的准确性和实用性,为后续三维重建和动态三维测试提供了基础。

    Abstract:

    The virtual binocular vision test is based on a high-speed camera and two planar mirrors to realize the 3D reconstruction of objects, and it solves the problems of synchronization and high cost in traditional binocular vision test. The internal and external parameters of camera calibration are an important guarantee of test precision. In order to solve the issue of human intervention and the complicated process during the calibration, a kind of automatic calibration system of high-speed camera parameter is designed based on the virtual binocular vision and Zhang’s calibration method. The external trigger circuit is designed to control the automatic rotation of the calibration board mounted on the platform bracket so as to realize automatic image shooting of different angle calibration board. The internal and external parameters of the high speed camera are obtained through the automatic processing of images by the open source computer vision library. Finally, the accuracy and practicability of the automatic calibration system of high speed camera are verified, It could provide the basis for subsequent 3D reconstruction and dynamic 3D testing.

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叶坚坚,刘向军.基于虚拟双目视觉的高速摄像机自动标定系统[J].电子测量技术,2019,42(3):74-79

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  • 在线发布日期: 2021-07-20
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