一种无需控制信息的智能手机自检校方法
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摘要
传统的相机检校方法受限于高精度的三维检校场或已知空间结构的检校模板,针对这个问题,在分析智能手机成像特征的基础上,提出一种无需控制信息的相机检校方法。该方法主要包括两个步骤:首先按3×3模式采集影像数据,选取基准影像,分别与其他影像进行相对定向以构建单元模型,通过比例系数进行模型连接后建立自由网模型,将所有摄站点、物方点坐标纳入到统一的基准影像坐标系中;然后以选择的基准影像为参考,并考虑附加参数模型,进行自检校光束法自由网平差,解算其余影像相对于基准影像的方位元素以及附加参数,从而完成相机的检校。实验结果表明,该检校方法是有效的,可显著提高测量的精度。
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 analysisof 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.
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 analysisof 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.
引文
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[13] Sahin C. Comparison and Calibration of Mobile Phone Fisheye Lens and Regular Fisheye Lens via Equidistant Model[J]. Journal of Sensors, 2016, 2 016(1):1-11
[14] Li Deren,Yuan Xiuxiao. Error Processing and Reliability Theory[M]. 2nd ed. Wuhan:Wuhan University Press,2012(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)
[15] 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):1 509-1 513(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):1 509-1 513)
[2] Zhang Z. A Flexible New Technique for Camera Calibration[J].IEEE Transactions on Pattern Ana-lysis & Machine Intelligence, 2000, 22(11): 1 330-1 334
[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
[4] Wang Zhizhuo. Photogrammetry[M]. Wuhan: Wuhan University Press, 2007(王之卓. 摄影测量原理[M]. 武汉: 武汉大学出版社,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
[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
[7] Ebrahim A B. Using Mobile Phone Digital Cameras in Digital Close Range Photogrammetry[J]. Photogrammetric Journal of Finland, 2004, 19(1):11-12
[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
[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
[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, 7 447(1):74 470H-74 470H-12
[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
[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
[13] Sahin C. Comparison and Calibration of Mobile Phone Fisheye Lens and Regular Fisheye Lens via Equidistant Model[J]. Journal of Sensors, 2016, 2 016(1):1-11
[14] Li Deren,Yuan Xiuxiao. Error Processing and Reliability Theory[M]. 2nd ed. Wuhan:Wuhan University Press,2012(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)
[15] 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):1 509-1 513(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):1 509-1 513)