摘要
简述了摄像机标定的原理,分别采用Harris角点提取法和改进的Harris角点提取法提取角点的两组图像坐标,采用Tsai标定法标定,并使用标定结果重构世界坐标,比较了两者的误差．
In this paper, the calibration principle of a camera is presented in brief. Two groups of corners are detected by using a Harris corner detection algorithm and an improved algorithm based on Harris respectively. The Tsai algorithm is used for the calibration of the camera and the calibration results are used to reconstruct the world coordinates. Finally, the errors of those two detection methods are compared.
出处
《红外》
CAS
2007年第1期36-40,共5页
Infrared
关键词
标定
共面特征点
角点检测
HARRIS算子
Tsai算法
calibration
coplanar characteristic parameter
corner detection
Harris algorithm
Tsai algorithm
