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A simple calibration method for line-structured light vision sensor based on planar target of different positions

机译:基于不同位置平面目标的线结构光视图的简单校准方法

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Accurate, efficient and robust calibration for the line-structured light vision sensor in 3D vision measurement is a significant procedure for that it is the foundation of the subsequent 3D-reconstruction. A simple and high-precision calibration method for the line-structured light vision sensor based on the planar target is proposed in this paper. The presented approach consists of three main steps. In the first step, the camera is calibrated to obtain the intrinsic parameters. In the second step, the camera coordinate of the light plane feature point is acquired through combining the constraint condition between the camera coordinate and pixel coordinate on the perspective projection model of the camera with the special equation of the planar target. In the third step, the light plane is fitted with the obtained light plane feature points based on the least square fitting. Compared with the cross-ratio invariability method, the proposed method achieve calibration with simply extracting the centerline of the light stripe. A calibration accuracy of 0. 080mm is achieved using the proposed method, which is comparable to that of the cross-ratio invariability method. This calibration method satisfies the requirement of high-accuracy for 3D vision measurement.
机译:用于3D视觉测量中的线结构光视图传感器的准确,高效且稳健的校准是它是随后的3D重建的基础。本文提出了一种简单高精度的基于平面目标的线结构光视图传感器的校准方法。提出的方法包括三个主要步骤。在第一步中,校准相机以获得内在参数。在第二步中,通过将相机坐标和像素坐标之间的约束条件与平面目标的特殊方程组合在相机的透视投影模型上的相机坐标和像素坐标之间的约束条件组合来获取光平面特征点的相机坐标。在第三步骤中,光平面配有基于最小平方配件的所获得的光平面特征点。与横比不变性方法相比,所提出的方法实现校准,只需提取光条的中心线。使用所提出的方法实现0.080mm的校准精度,这与横向不变性方法的方法相当。这种校准方法满足了3D视觉测量的高精度要求。

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