Neuro-Calibration of a Camera using Particle Swarm Optimization

被引：0
|
作者：
Kumar, Sanjeev [1 ]
Raman, Balasubramanian [2 ]
Wu, Jonathan [3 ]
机构：
[1] Univ Udine, Dept Maths & Comp Sci, Via Sci 206, I-33100 Udine, Italy
[2] IIT Roorkee, Dept Math, Uttarakhand 2476679, India
[3] Univ Windsor, Dept Elect & Comp Engn, Windsor, ON N9B3P4, Canada
来源：
2009 SECOND INTERNATIONAL CONFERENCE ON EMERGING TRENDS IN ENGINEERING AND TECHNOLOGY (ICETET 2009) | 2009年
关键词：
Camera Calibration; Gaussian Noise; Neural Network; Particle Swarm Optimization (PSO); Perspective Projection;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, a particle swarm optimization (PSO) based camera calibration approach is presented to determine the external and internal calibration parameters from the knowledge of a given set of points in object space. First, the image formation model for a pinhole camera is formulated in terms of a feed-forward neural network (NN) and then this neural network is trained using particle swarm optimization. The effect of noise and number of control points are studied in the estimation of calibration parameters. Results from our extensive study are presented to demonstrate the excellent performance of the proposed technique in terms of convergence, accuracy, and robustness.
引用
下载
收藏
页码：13 / +
页数：3
相关论文
共 50 条
  • [1] STEREO CAMERA CALIBRATION USING PARTICLE SWARM OPTIMIZATION
    Deep, K.
    Arya, M.
    Thakur, M.
    Raman, B.
    APPLIED ARTIFICIAL INTELLIGENCE, 2013, 27 (07) : 618 - 634
  • [2] Camera Calibration Based on Particle Swarm Optimization
    Song, Xiaona
    Yang, Bo
    Feng, Zhiquan
    Xu, Ting
    Zhu, Deliang
    Jiang, Yan
    PROCEEDINGS OF THE 2009 2ND INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, VOLS 1-9, 2009, : 2747 - 2751
  • [3] Neuro Structure Optimization Using Adaptive Particle Swarm Optimization
    Panigrahi, Sushanta Kumar
    Sahu, Amaresh
    Pattnaik, Sabyasachi
    INTERNATIONAL CONFERENCE ON COMPUTER, COMMUNICATION AND CONVERGENCE (ICCC 2015), 2015, 48 : 802 - 808
  • [4] Neuro structure optimization using adaptive particle swarm optimization
    20153301167864
    (1) Interscience Institute of Management and Technology, Bhubaneswar, Odisha, India; (2) Siksha 'O' Anusandhan University, Bhubaneswar, Odisha, India; (3) Fakir Mohan University, Balasore, Odisha, India, 1600, (Elsevier B.V., Netherlands):
  • [5] Improved Particle Swarm Optimization Algorithm Based NonLinear Calibration of Camera
    Guan, Wei
    Li, Wentao
    Xi, Jianhui
    2017 29TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC), 2017, : 5217 - 5221
  • [6] Mutation mechanism particle swarm optimization for camera internal parameter calibration
    Zhou J.
    Zhang X.-B.
    Bai Y.-L.
    Guangxue Jingmi Gongcheng/Optics and Precision Engineering, 2019, 27 (08): : 1745 - 1753
  • [7] Comprehensive improvement of camera calibration based on mutation particle swarm optimization
    Lu, Xueqin
    Meng, Lingzheng
    Long, Liyuan
    Wang, Peisong
    MEASUREMENT, 2022, 187
  • [8] Accelerometer to Accelerometer Calibration using Particle Swarm Optimization
    Karnawat, Saurabh
    Rufus, Elizabeth
    Karar, Vinod
    Poddar, Shashi
    2017 2ND IEEE INTERNATIONAL CONFERENCE ON RECENT TRENDS IN ELECTRONICS, INFORMATION & COMMUNICATION TECHNOLOGY (RTEICT), 2017, : 1502 - 1506
  • [9] Camera self-calibration with varying parameters based on planes basis using particle swarm optimization
    Merras, Mostafa
    El Hazzat, Soulaiman
    Bouazi, Aziz
    Chana, Idriss
    El Akkad, Nabil
    Satori, Khalid
    VISUAL COMPUTER, 2023, 39 (07): : 3109 - 3122
  • [10] Camera self-calibration with varying parameters based on planes basis using particle swarm optimization
    Mostafa Merras
    Soulaiman El Hazzat
    Aziz Bouazi
    Idriss Chana
    Nabil El Akkad
    Khalid Satori
    The Visual Computer, 2023, 39 : 3109 - 3122
12345