一种改进的摄像机标定方法

设计并实现了一种基于一阶径向畸变模型的摄像机标定方法。对方格标定模板图像进行预处理,缩小角点检测范围,对SUSAN算子的USAN面积域值进行快速自适应选取,提高了角点检测的速度和准确度。在考虑了一阶径向畸变的情况下,建立摄像机模型,利用匹配后的图像角点亚像素坐标,逐步求解了内外参数。结果表明,本方法具有较高的精度和良好的实时性。

A New Approach for Camera Calibration

Radial distortion model was applied to camera calibration,so a new approach for camera calibration was designed and realized.Corner detector was combined with pretreatment of pane calibration template images,and a fast adaptive selection was proposed for USAN area threshold on the basis of SUSAN operator.The speed and accuracy of SUSAN algorithm were improved.A camera model with radial distortion was established to calculate the intrinsic and extrinsic parameters with the sub-pixel coordinates of the corner suited.The experimental result demonstrates high accuracy and efficiency of this approach.