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基于针孔相机成像模型,利用共线方程建立了像平面坐标与粒子三维空间坐标之间的映射关系,在此基础上采用Tsai’s算法开展了相机内外参数标定方法的研究。使用微位移机构负载二维平面标定板完成了片光厚度内多个位置的单视场非共面标定。改进后的Wong-Trinder算子提高了标定板上目标像中心的定位精度。利用标准图像对其进行了仿真实验。结果表明,该标定方法具有标定速度快、精度高的特点,适合于多种流场的2D-3cPIV测量。
Based on the pinhole camera imaging model, the mapping relationship between the image plane coordinates and the three-dimensional coordinates of the particle is established by using the collinear equation. On this basis, Tsai’s algorithm is used to study the calibration method of the camera’s internal and external parameters. The use of micro-displacement mechanism to load two-dimensional planar calibration plate finishes a single field non-coplanar calibration of multiple positions within the film thickness. The improved Wong-Trinder operator improves the positioning accuracy of the target image center on the calibration plate. It is simulated by using standard images. The results show that the calibration method has the characteristics of fast calibration and high precision, and is suitable for 2D-3cPIV measurement in a variety of flow fields.