坐标系
校准
像素
投影(关系代数)
平面(几何)
转化(遗传学)
点(几何)
表达式(计算机科学)
垂直的
计算机科学
人工智能
计算机视觉
算法
对角线的
数学
几何学
生物化学
基因
统计
化学
程序设计语言
作者
Shun Wang,Xianyou Li,Yufei Zhang,Ke Xu
标识
DOI:10.1088/2631-8695/ad0b62
摘要
Abstract To systematically study the measurement error of the calibration coefficient method when the camera’s optical axis is not perpendicular to the measurement plane, this paper first discusses the principle of error measurement with 2D imaging model, and then derives the distribution relationship of physical points corresponding to evenly distributed pixels in the pixel coordinate system based on the projection transformation matrix of the vision system. Theoretical analysis reveals an equivariance series in the expression of physical point intervals. Considering rotational symmetry of the coordinate axis, this paper analyzes the geometric relationship when the calibration plane rotates around the X axis and derives the mathematical expression for dimensional measurement. Finally, an experimental platform with both industrial and telecentric lenses is proposed and designed. Experimental results demonstrate that the measurement results of the expression derived in this paper are consistent with the traditional coordinate transformation method and the maximum deviation of the measurement is less than 0.06 mm, validating the theoretical analysis presented in this paper and providing theoretical guidance for subsequent practical application.
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