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基于局部单应性矩阵的结构光系统标定研究 被引量:4

Research on Calibration of Structured Light System Based on Local Homography Matrix
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摘要 在基于结构光测量系统中,投影仪标定对物体的三维测量精度有着直接的影响。通过投影仪投射多幅正交格雷码至棋盘格标定板表面,利用未标定摄像机获得受棋盘格标定板调制的变形格雷码条纹图像,通过局部单应性矩阵方法获得棋盘格标定板各角点所对应的投影仪图像坐标。根据摄像机图像坐标、投影仪图像坐标与棋盘格标定板角点对结构光测量系统进行标定,获得摄像机与投影仪的内参数矩阵以及投影仪图像坐标系在摄像机图像坐标系的位姿矩阵。最后对结构光测量系统进行了标定实验;并使用Samuel Audet标定工具箱、Douglas Lanman标定工具箱与提及的标定方法进行标定误差对比。实验结果表明该方法操作简便,精度高,能较好地标定结构光测量系统参数。 In the structured light measurement system,projector calibration has a direct impact on the accuracy of measurement for objects. In this paper,multiple orthogonal Gray Code are viewed on the checkerboard calibration plate through the projector. Then the deformed Gray Code stripe images are captured through uncalibrated camera. By the method of local homography matrix,the corresponding position of projector image coordinates for checkerboard calibration plate corners are obtained. Sturctured light measurement system calibration is based on the position of checkerboard calibration plate corners in camera image coordinates,and in projector image coordinates.Thus,the internal parameters matrix and the position and posture matrix of the projector coordinate system and camera coordinate system are obtained. Finally,structured light measurement system is calibrated by experiment.The calibration errors is contrasted with results of using Samuel Audet's Calibration Toolbox and Douglas Lanman's Calibration Toolbox. The experimental results show that the method is simple,high precise and the parameters of structured light measurement system can be calibrated very accurate.
机构地区 华南理工大学
出处 《科学技术与工程》 北大核心 2016年第13期186-189,195,共5页 Science Technology and Engineering
关键词 局部单应性矩阵 正交格雷码 结构光 系统标定 local homography matrix orthogonal Gray code structured light system calibration
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参考文献10

  • 1曾令虎,刘鹏.摄像机标定的研究[J].武汉工业学院学报,2011,30(3):47-53. 被引量:7
  • 2谢德浩,全燕鸣.结构光焊缝视觉检测系统中投影仪标定法[J].电焊机,2013,43(5):101-104. 被引量:4
  • 3李中伟,史玉升,钟凯,王从军.结构光测量技术中的投影仪标定算法[J].光学学报,2009,29(11):3061-3065. 被引量:46
  • 4刘顺涛,骆华芬,陈雪梅,徐静.结构光测量系统的标定方法综述[J].激光技术,2015,39(2):252-258. 被引量:24
  • 5Anwar /4, Din I, Kang P. Projector calibration for 3D scanning using virtual target images. International Journal of Precision Engineering & Manufacturing, 2012; 13(1 ) :125--131.
  • 6Kimura M, Mochimaru M, Kanade T. Projector calibration using ar- bitrary planes and calibrated camera. CVPR, IEEE Computer Society Conferen~e on Computer Vision and Patten~ Recognition. Minneapo- lis,USA. 2007:1--2.
  • 7Mosnier J, Berry F, Air-Aider O. A new method for projeclor calibra- tion based on visual servning. IAPR Conference on Machine Vision Application. Yokohama ,Japan, 2009:25--29.
  • 8Moreno D, Taubin G. Simple, accurate, and rubust projector-camera calibration. 2012 Second International Conference on 31) Imaging, Modeling, Processing, Visualization & Transmission. IEEE Computer Society. Washington, DC, USA. 2012:464---471.
  • 9Nayar, Shree K, KrishnaJ1, et al. Fast separation of dire('/and global components .f a scene using high frequency illumination. ACM Trans- actions On Graphics, 2006 ; 25 ( 3 ) :935---944.
  • 10Xu Y, Aliaga D G. Robust pixel classification for 3D modeling with structured light. In : Proceedings of Graphics Interface, 2007:233-- 240.

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