An Improved Rotation-based Self-calibration

被引:0
|
作者
Li, Canlin [1 ]
Lu, Jiajie [1 ]
Ma, Lizhuang [1 ]
机构
[1] Shanghai Jiao Tong Univ, Dept Comp Sci & Engn, Shanghai 200240, Peoples R China
关键词
D O I
10.1109/CADCG.2009.5246825
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Purely rotation-based self-calibration receives the most attention among various self-calibration methods owing to its algorithmic simplicity. However, it is actually impossible to ensure that the camera motion for this kind of self-calibration is a pure rotation. Thus, significant errors of calibrating results could be inevitably introduced because of ignoring nonzero translation. In this paper, we propose a practical and effective approach to improve the purely rotation-based self-calibration approach. According to the fact that the rotational angles between images have a very strong impact on the calibrating errors from the translations, we compute the rotational angles between images prior to calibrating, and then use different and very appropriate strategies for self-calibration in different angle circumstances. Real data has been used to validate the proposed approach.
引用
收藏
页码:623 / 626
页数:4
相关论文
共 50 条
  • [1] Improved rotation-based self-calibration with a strategy of rotational angles
    Li, Canlin
    Lu, Jiajie
    Ma, Lizhuang
    [J]. OPTICAL ENGINEERING, 2009, 48 (09)
  • [2] Error analysis of pure rotation-based self-calibration
    Wang, L
    Kang, SB
    Shum, HY
    Xu, GY
    [J]. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2004, 26 (02) : 275 - 280
  • [3] Error analysis of pure rotation-based self-calibration
    Wang, L
    Kang, SB
    Shum, HY
    Xu, GY
    [J]. EIGHTH IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION, VOL I, PROCEEDINGS, 2001, : 464 - 471
  • [4] A Robust LiDAR-Camera Self-Calibration Via Rotation-Based Alignment and Multi-Level Cost Volume
    Duan, Zaipeng
    Hu, Xuzhong
    Ding, Junfeng
    An, Pei
    Huang, Xiao
    Ma, Jie
    [J]. IEEE ROBOTICS AND AUTOMATION LETTERS, 2024, 9 (01) : 627 - 634
  • [5] Self-calibration algorithm of rotation cameras
    Yu, HC
    Wu, FC
    Yuan, B
    Wei, S
    [J]. PROCEEDINGS OF THE 3RD WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-5, 2000, : 1321 - 1327
  • [6] Spherical-Projection-Model-Based Self-Calibration of Rotation Cameras
    Li Baoquan
    Fang Yongchun
    Zhang Xuebo
    Liu Kaizheng
    [J]. PROCEEDINGS OF THE 31ST CHINESE CONTROL CONFERENCE, 2012, : 4991 - 4996
  • [7] Self-Calibration Method of Sensors Array Errors Based on Rotation Measurement
    Wang, Ke
    Cheng, Feng
    Yi, Jianxin
    Wan, Xianrong
    [J]. IEEE SENSORS JOURNAL, 2023, 23 (03) : 2311 - 2319
  • [8] An Improved QPSO Algorithm Based on EXIF for Camera Self-calibration
    Bao, Pengxiao
    Gao, Feng
    Shi, Liwei
    Guo, Shuxiang
    [J]. 2021 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION (IEEE ICMA 2021), 2021, : 762 - 767
  • [9] Improved camera self-calibration method based on circular points
    Hu, Pei-Cheng
    Li, Ning
    Zhou, Jian-Jiang
    [J]. Guangdian Gongcheng/Opto-Electronic Engineering, 2007, 34 (12): : 54 - 60
  • [10] A Improved Way of Camera Self-Calibration Technique
    Hao Yong-Tao
    Xu Jing-Wei
    [J]. PROCEEDINGS OF THE 2009 2ND INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, VOLS 1-9, 2009, : 352 - 355