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基于三维控制场的鱼眼影像检校和纠正方法 被引量:6

Calibration and Rectification of Fisheye Images Based on Three-Dimensional Control Field
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摘要 视场在180°左右的鱼眼影像的变形主要包括由镜头球形结构引起的变形和光学畸变,针对这两种畸变提出一种基于三维控制场的分步检校方法,该方法基于直接线性变换(DLT)建立像方空间与物方空间的对应关系模型,结合球面透视模型迭代解算与鱼眼结构有关的变换半径,在第一步检校结果的基础上建立影像的畸变模型,并将该模型引入到DLT中对光学畸变参数进行检校,利用第二步检校的结果对影像进行再纠正,解决了鱼眼影像严重的畸变问题,并通过实验验证了该方法的有效性及精度。 The main distortions of fisheye images of a field view 180° are the distortion due to the spherical structure and optical distortion.A step-wise calibration method based on the three-dimensional control field is proposed,in which the relationship between 3D space and imagery space is constructed with direct linear transformation(DLT),and the transformation radius associated with fisheye structure is calibrated with the iteration method combining the spherical perspective model.The distortion model is constructed based on the correction result of the first calibration,and introduced into DLT to calibrate the distortion parameters.The images are corrected again with the result of second calibration,which solves the serious distortion of fisheye images.The experiments verify the effectiveness and accuracy of the proposed method.
出处 《光学学报》 EI CAS CSCD 北大核心 2017年第1期216-224,共9页 Acta Optica Sinica
基金 国家自然科学基金(41271431) 国家973计划(2012CB719900) 航空遥感技术国家测绘地理信息局重点实验室开放基金(2014B07)
关键词 机器视觉 相机检校 鱼眼影像 直接线性变换 球面模型 畸变模型 machine vision camera calibration fisheye image direct linear transformation spherical model distortion model
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  • 1陈启军,张宏辉,王月娟,陈辉堂.一种简单的机器人鲁棒自适应轨迹跟踪控制算法[J].华中科技大学学报(自然科学版),2004,32(S1):52-54. 被引量:5
  • 2侯文广,尚涛.鱼眼镜头在获取建筑物立面影像中的新方法[J].武汉大学学报(工学版),2007,40(1):105-109. 被引量:5
  • 3[1]Swaminathan R, Nayar S K. Non-metric calibration of wideangle lenses and polycameras. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000, 22(10): 1172~1178
  • 4[2]Kang S B. Radial distortion snakes. In: Proceedings of IAPR Workshop on Machine Vision Applications, Tokyo, 2000. 603~606
  • 5[3]Devernay F, Faugeras O. Straight lines have to be straight:Automatic calibration and removal of distortion from scenes of structured environments. Machine Vision and Applications,2001, 13(1):14~24
  • 6[4]Weng J, Cohen P, Herniou M. Camera calibration with distortion models and accuracy evaluation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1992, 14 (10): 965~980
  • 7[5]Nomura Y, Sagara M, Naruse H, Ide A. Simple calibration algorithm for high-distortion-lens camera. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1992, 14 (11):1095~1100
  • 8[6]Shah S, Aggarwal J K. Intrinsic parameter calibration procedure for a (high distortion) fish-eye lens camera with distortion model and accuracy estimation. Pattern Recognition, 1996, 29(11): 1775~1788
  • 9[7]Zhang Z. On the epipolar geometry between two images with lens distortion. In: Proceedings of the International Conference on Pattern Recognition, Vienna, Austria, 1996. 407~411
  • 10[8]Stein G P. Lens distortion calibration using point correspondences. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, Puerto Rico, 1997. 143~148

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