Abstract: Accurate camera calibration is required for achieving precise visual measurements.Artificial neural networks are used to learn the relationships between the image information and the 2D information.It neither requires an accurate mathematical model nor needs any prior knowledge about the parameters.The experiment results show that the proposed camera calibration based on neural network has higher precision.It is valid for the camera calibration of the soccer robots.

摘要： 摄像机标定是精密视觉测量的基础。利用人工神经网络直接学习图像信息与二维平面信息之间的对应关系，不需要确定摄像机具体的内部参数和外部参数，也无需知道有关摄像机模型或参数的先验知识。通过实验表明基于神经网络的标定方法与传统的线性标定方法相比具有较高的标定精度和较强的标定实时性，适用于足球机器人的摄像机标定。