An Improved Algorithm for Camera Calibration Technology Research

被引：0
|
作者：
Lu, Gen [1 ]
Shao, Yuying [2 ]
Deng, Li [1 ]
Fei, Minrui [1 ]
机构：
[1] Shanghai Univ, Sch Mechatron Engn & Automat, Shanghai 200072, Peoples R China
[2] State Grid Shanghai Municipal Elect Power Co, Shanghai 200025, Peoples R China
来源：
COMPUTATIONAL INTELLIGENCE, NETWORKED SYSTEMS AND THEIR APPLICATIONS | 2014年 / 462卷
关键词：
camera calibration; intrinsic parameter; external parameter; differential evolution; particle swarm algorithm;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Computer vision technology has wide application value in daily life and industrial production. Camera calibration is the base of computer vision technology, which is the key and necessary step to get three-dimensional spatial information from a two-dimensional image. In the paper, the geometric parameter of camera is considered as the research object. Firstly, the relationship model of camera calibration is established and used to unify the world coordinate system, the camera coordinate system and the image coordinate system. It takes the image pixel point as the optimization goal, then a differential evolution combined with particle swarm optimization algorithm is proposed to calibrate camera. Experimental simulation results show that the improved algorithm has good optimization ability and used for camera calibration has validity and reliability.
引用
收藏
页码：249 / 256
页数：8
相关论文
共 50 条
  • [1] Research on camera calibration optimization method based on improved sparrow search algorithm
    Guo, Jia
    Zhu, Yun
    Wang, Jianyu
    Du, Shuai
    He, Xin
    [J]. JOURNAL OF ELECTRONIC IMAGING, 2023, 32 (01)
  • [2] Application of improved genetic algorithm in camera calibration
    Li, Weimin
    Liu, Hui
    Zhu, Lichun
    Zhao, Yu
    [J]. OPTICS AND PHOTONICS FOR INFORMATION PROCESSING VIII, 2014, 9216
  • [3] Camera calibration based on improved genetic algorithm
    Xing, Yingjie
    Liu, Qiao
    Sun, Jing
    Hu, Long
    [J]. 2007 IEEE INTERNATIONAL CONFERENCE ON AUTOMATION AND LOGISTICS, VOLS 1-6, 2007, : 2596 - 2601
  • [4] RESEARCH ON BINOCULAR CAMERA CALIBRATION TECHNOLOGY BASED ON THE BP NEURAL NETWORK ALGORITHM
    Wang Hong-Jiang
    Zhao Ting-Ting
    Zhang Wen-Qiang
    Wang Nan
    [J]. FIFTH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTER THEORY AND ENGINEERING (ICACTE 2012), 2012, : 135 - 142
  • [5] Binocular Camera Calibration Based on an Improved Genetic Algorithm
    Jiang, Xiangkui
    Yuan, Sicong
    Liu, Jinsong
    Zou, Cunfan
    Yan, Weidong
    [J]. 2011 INTERNATIONAL CONFERENCE ON COMPUTERS, COMMUNICATIONS, CONTROL AND AUTOMATION (CCCA 2011), VOL II, 2010, : 381 - 384
  • [6] An improved algorithm for corner extraction of checkerboard in camera calibration
    Chen, Xinyi
    Song, Yang
    [J]. AOPC 2019: OPTICAL SENSING AND IMAGING TECHNOLOGY, 2019, 11338
  • [7] CCD camera automatic calibration technology and ellipse recognition algorithm
    孙长库
    张效栋
    屈云霞
    [J]. Chinese Optics Letters, 2005, (10) : 31 - 34
  • [8] Improved two-steps algorithm for camera calibration based on coplanar calibration points
    Tong, Qingbin
    Ding, Zhenliang
    Yuan, Feng
    Qu, Hongbo
    [J]. Journal of Information and Computational Science, 2008, 5 (04): : 1535 - 1544
  • [9] Research on algorithm of camera calibration based on polynomial for a mobile robot
    Yang, GS
    Yan, H
    Chen, LC
    Tan, M
    [J]. ISTM/2003: 5TH INTERNATIONAL SYMPOSIUM ON TEST AND MEASUREMENT, VOLS 1-6, CONFERENCE PROCEEDINGS, 2003, : 4483 - 4488
  • [10] Improved Particle Swarm Optimization Algorithm Based NonLinear Calibration of Camera
    Guan, Wei
    Li, Wentao
    Xi, Jianhui
    [J]. 2017 29TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC), 2017, : 5217 - 5221
12345