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三目视觉图像的极线校正方法 被引量:5

Epipolar rectification in trinocular vision images
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摘要 提出了解决垂直双基线三目(左、右、顶)极线校正的两步法。第一步摄像机旋转变换,按照特定的规则将各摄像机的对应坐标轴绕其光心旋转至互相平行,使得各像平面共面且与焦平面平行。第二步顶摄像机的平移变换,使三个摄像机光心构成空间等腰直角三角形。为此,提出一种等效处理方法。采用一面平面靶标,采集旋转变换前的三目图像,然后施以旋转变换,分析变换后三目图像所提供的特征对应点对的坐标,确定出顶图像变换至理想视图需要偏移的主点坐标,该过程等效于顶摄像机位置的平移。实验表明,该方法简便有效。 A two-step approach is proposed for the epipolar rectification of image triplet (left, right and top) in a perpendicular double-baseline vision system. Firstly, rotation transformations are made to the camera triplet. The axes of each camera coordinate frame are rotated around their optical centers until parallel, which insures that the retinal planes are coplanar and parallel to the focal plane. Secondly, a translational transform is conducted to the top camera so that the triplet of cameras is perfectly situated on the vertices of a isosceles right-angle triangle. For this purpose, an equivalent means in which a planar target is adopted, is proposed. Trinocular images of the planar grid are transformed with the rotational transformations obtained in first step. After analyzing the coordinates of corresponding points, the offset of principal point position, by which the top camera is rectified equivalently with optical displacement, is determined subsequently. Experimental results reveal the simplicity and effectiveness of this method.
出处 《光电工程》 EI CAS CSCD 北大核心 2007年第10期50-54,共5页 Opto-Electronic Engineering
基金 教育部985工程建设项目
关键词 三目图像 立体视觉 极线校正 图像处理 trinocular image stereo vision epipolar rectification image processing
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  • 1Ayache N. Artificial Vision for Mobile Robots: Stereo Vision and Multisensory Perception. Cambridge: MIT Press, 1991.
  • 2Pollefeys M, Koch R, van Gool L. A simple and efficient rectification method for general motion. In: Werner B, ed. Proc. of the Int'l Conf. on Computer Vision. Los Alamitos: IEEE Press, 1999. 496-501.
  • 3Loop C, Zhang Z. Computing rectifying homographies for stereo vision. In: Baldwin T, Sipple RS, eds. Proc. of the Int'l Conf. on Computer Vision and Pattern Recognition. Los Alamitos: IEEE Press, 1999. 125-131.
  • 4Hartley R. Theory and practice of projective rectification. Int'l Journal of Computer Vision, 1999,35(2):115-127.
  • 5Gluckman J, Nayar S. Rectifying transformations that minimize resampling effects. In: Jacobs A, Baldwin T, eds. Proc. of the Int'l Conf. on Computer Vision and Pattern Recognition, Vol I. Los Alamitos: IEEE Press, 2001. 111~117.
  • 6Hartley R, Zisserman A. Multiple View Geometry in Computer Vision. Cambridge: Cambridge University Press, 2000.
  • 7Fischler M, Bolles R. Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography. Graphics and Image Processing, 1981,26(4):381-395.
  • 8Zhang H, Sara R. A linear method for trinocular rectification. Research Report, CTU-CMP-2002-09, Prague: Center for Machine Perception, Czech Technical University, 2002.
  • 9Hartley R. In defense of the eight-point algorithm. IEEE Trans. on Pattern Analysis and Machine Intelligence, 1997,19(6):580-593.
  • 10Zhang Z, Deriche R, Faguaras O, Luong Q. A robust technique for matching two uncalibrated images through the recovery of the unknown epipolar geometry. Research Report, RR-2273, Sophia-Antipolis: INRIA Sophia-Antipolis, 1994.

共引文献12

同被引文献35

  • 1谢亮亮,屠大维,张旭,肖国梁,金攀.深海原位激光扫描双目立体视觉成像系统[J].仪器仪表学报,2020,41(6):106-114. 被引量:18
  • 2蔡虹,叶水生,张永.一种基于模糊聚类的组合BP网络挖掘方法[J].计算机工程与应用,2005,41(36):83-85. 被引量:2
  • 3林国余,张为公.一种无需基础矩阵的鲁棒性极线校正算法[J].中国图象图形学报,2006,11(2):203-209. 被引量:7
  • 4Fusiello A,Trucco E,Verri A.A compact algorithm for rectification of stereo pairs[J].Machine Vision and Applications,2000,12(1):16.
  • 5Seitz S M.Image-based transformation of viewpoint and scene appearance[D].Madison:University of Wisconsin.Department of Computer Sciences,1997.
  • 6Francesco Isgro,Emanuele Trucco.Projective rectification without epipolar geometry[C]∥IEEE International Conference on Computer Vision and Pattern Recognition.Fort Collins:IEEE Computer Society,1999,94-99.
  • 7Loop C,Zhang Zhengyou.Computing rectifying homographies for stereo vision[C]∥Proc of IEEE Conf on Computer Vision and Pattern Recognition.Fort Collins:IEEE Computer Society,1999:125-131.
  • 8Mallon J,Whelan P F.Projective rectification from the fundamental matrix[J].Image and Vision Computing,2005,23(7):643.
  • 9Oh Kyoungsu,Kim Hyowon,Lee Chulhan,et al.Real-time rendering of multi-view images from a single image with depth[C]∥Proceedings of the 5th International Conference on Computational Science and Applications.Kuala Lampur:IEEE Computer Society,2007,505-509.
  • 10Seitz S M,Dyer C R.View morphing[C]∥Proc of Siggraph'96.ACM SIGGRAPH.New York:Addison Wesley,1996,21-30.

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