Geometric Parameters Calibration of Focused Light Field Camera Based on Edge Spread Information Fitting

被引:4
|
作者
Feng, Wei [1 ]
Wang, Henghui [1 ]
Fan, Jiahao [1 ]
Xie, Boya [1 ]
Wang, Xuanze [1 ]
机构
[1] Hubei Univ Technol, Sch Mech Engn, Hubei Key Lab Modern Mfg Qual Engn, Wuhan 430068, Peoples R China
基金
中国国家自然科学基金; 中国博士后科学基金;
关键词
parameters calibration; focused light field camera; edge spread information fitting; internal parameters; corner detection; DEPTH ESTIMATION;
D O I
10.3390/photonics10020187
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
In this paper, a novel method based on edge spread information fitting (ESIF) is proposed to accurately calibrate the geometric parameters of a focused light field camera. A focused light field camera with flexible adjustment of spatial resolution and angular resolution is designed and built to capture the four-dimensional light field information of the scenes, and the geometric relationship between the focus plane of the camera and its internal parameters is derived to establish and simplify the calibration model. After that, a new algorithm based on sub-pixel edge fitting is designed to accurately detect corners, and the minimum corner size can be calculated to confirm the focus plane. In the simulation experiments, the error is 0.083% between the ground truth and the calibration result. The physical experiments show that our method is effective and reliable for the geometric calibration of a focused light field camera. Our method cleverly utilizes the special imaging geometric relationship of the focused light field camera to ensure the better calibration accuracy, which makes the calibration process more reliable.
引用
收藏
页数:13
相关论文
共 50 条
  • [41] Calibration of underwater fisheye camera with multi-frequency heterodyne technique based on light field
    Xie, LiangLiang
    Zhang, Xu
    Tu, Dawei
    Li, Chen
    Xiao, Guoliang
    Zhang, Can
    Zhuang, Sufeng
    MEASUREMENT SCIENCE AND TECHNOLOGY, 2020, 31 (11)
  • [42] Eccentricity error compensation for geometric camera calibration based on circular features
    Yang, Xieliu
    Fang, Suping
    MEASUREMENT SCIENCE AND TECHNOLOGY, 2014, 25 (02)
  • [43] Geometric Calibration of Micro-Lens-Based Light Field Cameras Using Line Features
    Bok, Yunsu
    Jeon, Hae-Gon
    Kweon, In So
    IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2017, 39 (02) : 287 - 300
  • [44] Parameters Separated Calibration Based on Particle Swarm Optimization for a Camera and a Laser-Rangefinder Information Fusion
    Zhou, Kaijun
    Yu, Lingli
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2014, 2014
  • [45] Measurement of focused ultrasonic fields based on colour edge detection and curve fitting
    Zhu, H.
    Chang, S.
    Yang, P.
    He, L.
    JOURNAL OF INSTRUMENTATION, 2016, 11
  • [46] Calibrating an unfocused plenoptic camera based on parameters grouping and the light field structure point
    Jin, Dongyang
    Huo, Xiao
    Zhang, Saiping
    Zhang, Wei
    Yang, Fuzheng
    Yang, Jungang
    APPLIED OPTICS, 2023, 62 (02) : 481 - 491
  • [47] From the Calibration of a Light-Field Camera to Direct Plenoptic Odometry
    Zeller, Niclas
    Quint, Franz
    Stilla, Uwe
    IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, 2017, 11 (07) : 1004 - 1019
  • [48] A new imaging model of Lytro light field camera and its calibration
    Duan, Huixian
    Mei, Lin
    Wang, Jun
    Song, Lei
    Liu, Na
    NEUROCOMPUTING, 2019, 328 : 189 - 194
  • [49] Hand-eye calibration for an unfocused light-field camera
    Wang, Jie
    Ye, Siwen
    Shi, Shengxian
    New, T. H.
    JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION, 2022, 39 (11) : 1946 - 1957
  • [50] Light field camera all-in-focus image acquisition based on angular information
    Wu, Yingchun
    Cheng, Xing
    Liang, Jie
    Wang, Anhong
    Zhao, Xianling
    OPTICA APPLICATA, 2021, 51 (02) : 289 - 304