用椭球体标定工业视觉系统

J. Heather
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引用次数: 3

摘要

介绍了一种用于工业视觉系统的鲁棒多相机标定算法。使用具有简单表面图案和精确已知几何形状的椭球作为标定目标。我们的算法自动检测传送带上的球的存在,并使用高效的图像处理技术准确地确定其轮廓和标记线在每个图像帧中的位置。然后进行快速最小二乘最小化,以确定最佳的相机和运动参数。该方法是全自动的,无需人工交互或指导,有助于最大限度地减少机器设置和维护时间。标定算法已在实际图像捕获上进行了验证,并使用模拟图像序列对其性能进行了量化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Calibration of an industrial vision system using an ellipsoid
A robust multi-camera calibration algorithm developed for an industrial vision system is described. An ellipsoid with a simple surface pattern and accurately known geometry is used as a calibration target. Our algorithm automatically detects the presence of the ball on the conveyor and accurately determines the position of its outline and marker lines in each image frame using efficient image processing techniques. A fast least-squares minimization is then performed to determine the optimal camera and motion parameters. The method is fully automatic and requires no human interaction or guidance, helping to minimize machine setup and maintenance times. The calibration algorithm has been demonstrated on real image captures and performance is quantified using simulated image sequences.
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