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一种利用图像序列进行摄像机标定的方法 被引量:6

Camera Calibration Based on Image Series
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摘要 结合消隐点的有关知识,利用图像序列中运动的人体及其阴影的垂直关系,给出了一种实用性比较强的摄像机标定方法.该方法采用线性的方法计算出了可变焦摄像机5参数的内参数矩阵及旋转矩阵,并在一定的条件下计算出平移矩阵,最终将摄像机完全标定.计算内参数及旋转矩阵时不必考虑图像之间对应点之间的关系,从而大大减少了图像检测期间算法的复杂度,提高了标定的速度.此外,模拟和实际图像实验也表明该自标定方法具有较高的鲁棒性和准确性,适用于在线摄像机标定系统. A practicable method of determining the camera's intrinsic parameters(with 5 parameters) as well as its extrinsic parameters is proposed. All the camera parameters are determined based on the walking humans and their shadows and the method is linearly. Meanwhile the relationship of the corresponding points have not to be considered, so the speed of calibration could be increased greatly. Extensive simulations and experimental results with real images show that this proposed method is both accurate and robust. This method can be used in on-line system.
出处 《光子学报》 EI CAS CSCD 北大核心 2005年第9期1415-1419,共5页 Acta Photonica Sinica
关键词 标定 消隐点 平行 图像序列 Calibration Vanishing point Parallelism Image series
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参考文献12

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