Volume 44 Issue 2
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FU Bingjie, ZHAO Shuangming, YU Guorong, ZHAO Shuaihua. A Smartphone Self-Calibration Method Without Control Information[J]. Geomatics and Information Science of Wuhan University, 2019, 44(2): 268-275, 282. DOI: 10.13203/j.whugis20160432
Citation: FU Bingjie, ZHAO Shuangming, YU Guorong, ZHAO Shuaihua. A Smartphone Self-Calibration Method Without Control Information[J]. Geomatics and Information Science of Wuhan University, 2019, 44(2): 268-275, 282. DOI: 10.13203/j.whugis20160432
shu

A Smartphone Self-Calibration Method Without Control Information

  • 1.

    School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China

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  • Author Bio:

    FU Bingjie, master, specializes in calibration of digital camera. E-mail:bjfu@whu.edu.cn

  • Corresponding author:

    ZHAO Shuangming, PhD, professor. E-mail:smzhao@whu.edu.cn

  • Received Date: February 25, 2017
  • Published Date: February 04, 2019
    Graphical Abstract
    • Abstract
  • Traditional camera calibration methods are limited by high-precision three-dimensional inspection tinker or calibration template with known space structure. Aiming at this problem, this paper puts forward a kind of camera calibration method without control information on the basis of the analysis of characteristics of smartphone imaging. This method includes two steps:Firstly, we collect images data according to 3×3 mode, select a reference image to take relative orientation with other images in order to build unit model, and build free net model through the proportional coefficient after model connection, then coordinates of projective centers and object space points will be all taken into one coordinate system of reference image; secondly, taking the base image selected as reference and considering additional parameter model, orientation elements of images relative to reference image and additional parameters will be gotten after self-calibration bundle block adjustment. Experimental results show that this calibration method is effective and can significantly improve the accuracy of measurement.
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    • References (15)
  • [1]
    Brown D C. Close-Range Camera Calibration[J].Photogramm Eng, 2002, 37(8):855-866 http://d.old.wanfangdata.com.cn/Periodical/hwyjggc201607037
    [2]
    Zhang Z. A Flexible New Technique for Camera Calibration[J].IEEE Transactions on Pattern Ana-lysis & Machine Intelligence, 2000, 22(11):1330-1334 http://cn.bing.com/academic/profile?id=0bc5d4ddc26376a66ba74dcc389e89d6&encoded=0&v=paper_preview&mkt=zh-cn
    [3]
    Abdel-Aziz Y I, Karara H M, Hauck M. Direct Linear Transformation from Comparator Coordinates into Object Space Coordinates in Close-Range Photogrammetry[J]. Photogrammetric Enginee-ring & Remote Sensing, 2015, 81(2):103-107 http://cn.bing.com/academic/profile?id=2dc5bfac9356f628a430ee9ca1d6ff70&encoded=0&v=paper_preview&mkt=zh-cn
    [4]
    王之卓.摄影测量原理[M].武汉:武汉大学出版社, 2007

    Wang Zhizhuo. Photogrammetry[M]. Wuhan:Wuhan University Press, 2007
    [5]
    Udin W S, Ahmad A. Calibration of High Resolution Digital Camera Using Self-Calibration Bundle Adjustment Method[C]. IEEE International Colloquium on Signal Processing and Its Applications, Penang, Malaysia, 2011 http://eprints.utm.my/id/eprint/28901/
    [6]
    Triggs B, Mclauchlan P F, Hartley R I, et al. Bundle Adjustment-A Modern Synthesis[C]. International Workshop on Vision Algorithms: Theory and Practice.Corfu: Springer-Verlag, 1999 http://www.cs.jhu.edu/~misha/ReadingSeminar/Papers/Triggs00.pdf
    [7]
    Ebrahim A B. Using Mobile Phone Digital Cameras in Digital Close Range Photogrammetry[J]. Photogrammetric Journal of Finland, 2004, 19(1):11-12 https://www.researchgate.net/publication/256093760_Using_Mobile_Phone_Digital_Cameras_in_Digital_Close_Range_Photogrammetry
    [8]
    Gruen A, Akca D. Calibration and Accuracy Testing of Mobile Phone Cameras[C]. The 28th Asian conference on Remote Sensing, Kuala Lumpur, Malaysia, 2007 https://pdfs.semanticscholar.org/d243/6700c5aa49e6fcba6fe7f61b2835ec38294e.pdf
    [9]
    Takahashi Y, Chikatsu H. Accuracy Aspects of Mobile Phone Cameras for Digital Close Range Photogrammetry[J]. Journal of the Japan Society of Photogrammetry, 2009, 48(5):299-307 http://cn.bing.com/academic/profile?id=974bb4355a9340cefb6bc7c09a1b3c9c&encoded=0&v=paper_preview&mkt=zh-cn
    [10]
    Chikatsu H. Comparative Evaluation of Consumer Grade Cameras and Mobile Phone Cameras for Close Range Photogrammetry[J]. Proceedings of SPIE-The International Society for Optical Enginee-ring, 2009, 7447(1):74470H-74470H-12 http://cn.bing.com/academic/profile?id=eaf1210e0f64a2319612f9b153aa834e&encoded=0&v=paper_preview&mkt=zh-cn
    [11]
    Kim J, Lee S, Ahn H, et al. Feasibility of Employing a Smartphone as the Payload in a Photogrammetric UAV System[J]. ISPRS Journal of Photogrammetry & Remote Sensing, 2013, 79(4):1-18 http://cn.bing.com/academic/profile?id=294a1fee4aa55439d545d9efef47ec9d&encoded=0&v=paper_preview&mkt=zh-cn
    [12]
    Fawzy H E. The Accuracy of Mobile Phone Camera Instead of High Resolution Camera in Digital Close Range Photogrammetry[J]. International Journal of Civil Engineering and Technology(IJCIET), 2015, 6(1):76-85 http://cn.bing.com/academic/profile?id=bf6fa4b8116c98b2f1b8612c0be36444&encoded=0&v=paper_preview&mkt=zh-cn
    [13]
    Sahin C. Comparison and Calibration of Mobile Phone Fisheye Lens and Regular Fisheye Lens via Equidistant Model[J]. Journal of Sensors, 2016, 2016(1):1-11 http://cn.bing.com/academic/profile?id=1e42f4c0d8f9c5e1fcaf7c20229491d0&encoded=0&v=paper_preview&mkt=zh-cn
    [14]
    李德仁, 袁修孝.误差处理与可靠性理论[M]. 2版.武汉:武汉大学出版社, 2012

    Li Deren, Yuan Xiuxiao. Error Processing and Reliability Theory[M]. 2nd ed. Wuhan:Wuhan University Press, 2012
    [15]
    张烁, 徐亚明, 刘少创, 等.嫦娥-3号月面巡视探测器立体相机的控制场检校[J].武汉大学学报·信息科学版, 2015, 40(11):1509-1513 http://ch.whu.edu.cn/CN/abstract/abstract3372.shtml

    Zhang Shuo, Xu Yaming, Liu Shaochuang, et al. Calibration of Change'e-3 Lunar Rover Stereo-Camera System Based on Control Field[J]. Geomatics and Information Science of Wuhan University, 2015, 40(11):1509-1513 http://ch.whu.edu.cn/CN/abstract/abstract3372.shtml
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