摘要
针对道路交通事故现场图自动绘制中的摄像机标定问题,提出一种平面模板摄像机标定方法。在畸变较小的图像中心区域求取初值,采用基于内部映射牛顿法的子空间置信域法求解部分参数,引入畸变模型,通过直线特征约束求得剩余参数。实验结果表明,该方法能简化标定过程,减少运算量,提高计算速度。
Aiming at the camera calibration in the drawing of the scene for the road traffic accident,a method for camera calibration based on planar template is proposed in this paper.Initial values are computed in the image central area where the distortion is small,partial calibration values are calculated through a subspace trust region method based on the interior-reflective Newton method,by introducing distortion model and employing linear feature constrain approach,remaining parameters can be calculated.Experimental results show that the proposed method simplifies calibration process,reduces computation and improves computing speed.
出处
《计算机工程》
CAS
CSCD
2012年第15期264-267,共4页
Computer Engineering
关键词
平面模板
摄像机标定
图像中心区域
子空间置信域法
畸变模型
直线特征
planar template
camera standardization
image central area
subspace trust region method
distortion model
linear feature
