视觉系统中摄像机标定方法研究现状及展望

田俊英; 伍济钢; 赵前程

doi:10.37188/CJLCD.2021-0187

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视觉系统中摄像机标定方法研究现状及展望

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- 视觉系统中摄像机标定方法研究现状及展望
- Research progress of camera calibration methods in vision system
- 液晶与显示 2021年36卷第12期页码：1674-1692
- 作者机构：
  
  1.湖南科技大学机械设备健康维护湖南省重点实验室, 湖南湘潭 411201
- 作者简介：
  
  [ "田俊英(1997-), 女, 山西兴县人, 硕士研究生, 2020年于晋中学院获得学士学位, 主要从事机器视觉测量方面的研究。E-mail: tianjunying12@163.com" ]
  [ "伍济钢(1978-), 男, 湖南邵阳人, 博士, 教授, 2008年于华中科技大学获得博士学位, 主要从事机器视觉测量、机械动力学等方面的研究。E-mail: jwu@cvm.ac.cn" ]
- 基金信息：
  
  国家自然科学基金(51775181)
- DOI：10.37188/CJLCD.2021-0187
  中图分类号：
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田俊英, 伍济钢, 赵前程. 视觉系统中摄像机标定方法研究现状及展望[J]. 液晶与显示, 2021,36(12):1674-1692.

Jun-ying TIAN, Ji-gang WU, Qian-cheng ZHAO. Research progress of camera calibration methods in vision system[J]. Chinese Journal of Liquid Crystals and Displays, 2021,36(12):1674-1692.
田俊英, 伍济钢, 赵前程. 视觉系统中摄像机标定方法研究现状及展望[J]. 液晶与显示, 2021,36(12):1674-1692. DOI： 10.37188/CJLCD.2021-0187.

Jun-ying TIAN, Ji-gang WU, Qian-cheng ZHAO. Research progress of camera calibration methods in vision system[J]. Chinese Journal of Liquid Crystals and Displays, 2021,36(12):1674-1692. DOI： 10.37188/CJLCD.2021-0187.

摘要

摄像机标定是视觉系统中最为基础的环节，它利用摄像机成像原理来求解摄像机模型的内外参数，以便更好地实现视觉系统在实际中的应用。通过分析摄像机标定的特点，并结合国内外摄像机标定的发展现状，根据标定目标的空间维度将其分为三维标定、二维标定、一维标定和零维自标定方法。本文介绍了各摄像机标定方法的起源及发展，详细分析了各摄像机标定方法的基本原理，归纳总结了各类标定方法存在的优势与不足之处，并对标定技术的发展趋势做出了预测。在复杂的场景与运算量大的情况下，要以高精度、高效率、高鲁棒性等为主要研究内容，来进一步扩大适用范围、加强实用性，同时也要考虑到摄像机标定的成本问题，找出更合适的标定方法。

Abstract

Camera calibration is the most basic part of the vision system. It uses the camera imaging principle to solve the internal and external parameters of the camera model, so as to better realize the application of the vision system in practice. Based on the analysis of the characteristics of camera calibration and the development of camera calibration at home and abroad, the calibration objects are divided into three-dimensional calibration method, two-dimensional calibration method, one-dimensional calibration method and zero-dimensional self-calibration method. This paper introduces firstly the origin and development of each camera calibration method, then analyzes the basic principle of each camera calibration method in detail, and summarizes the advantages and disadvantages of each calibration method. The development trend of calibration technology is predicted. In the case of complex scene and large amount of computation, the main research contents should be high precision, high efficiency and high robustness, so as to further expand the scope of application and enhance the practicability. At the same time, the cost of camera calibration should also be taken into account, to find a more suitable calibration method.

关键词

视觉系统三维标定法二维标定法一维标定法零维自标定

Keywords

vision systemthree-dimensional calibrationtwo-dimensional calibrationone-dimensional calibrationzero-dimensional self-calibration

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