A calibration method for structured light systems based on a virtual camera

Mingliang Fu, Yuquan Leng, Huiwen Zhang
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引用次数: 3

Abstract

Structured light systems are a simple and efficient tool in the field of 3D reconstruction. Existing calibration methods of structured light systems are either not precise or elastic. In this paper, an easy to use method is proposed. The calibration of a structured light system can accomplished with a good accuracy. The projector projects a checkerboard pattern rendered by OpenGL functions onto a planar board, and the coordinates of corner points in the projector image plane are adjusted to the target position with an iterative algorithm. Thus, the projector can "view" the printed chessboard pattern. The calibration of a projector becomes essentially the same as that of a monocular camera. Meanwhile, the projector calibration doesn't depend on a pre-calibrated camera, which makes errors of the camera calibration cannot effect the projector calibration. Experimental results show that the mean re-projection error of the projector is less than 1 pixel.
基于虚拟摄像机的结构光系统标定方法
结构光系统是三维重建领域中一种简单而有效的工具。现有的结构光系统标定方法要么不够精确,要么不够灵活。本文提出了一种简便易行的方法。结构光系统的标定具有较高的精度。投影仪将OpenGL函数绘制的棋盘图案投影到平面上,通过迭代算法将投影图像平面上的角点坐标调整到目标位置。因此,投影仪可以“查看”打印的棋盘图案。投影仪的校准基本上与单目摄像机的校准相同。同时,投影仪标定不依赖于预标定摄像机,摄像机标定误差不会影响投影仪标定。实验结果表明,该投影仪的平均重投影误差小于1个像素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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