二维码（扫一下试试看！） | | 基于圆形阵列标定板的张氏相机标定法 | | Zhang's Camera Calibration Method Based on Circular Array Calibration Board | | 投稿时间：2018-03-01 | | DOI：10.15918/j.tbit1001-0645.2019.08.014 | | 中文关键词:圆形标记点相机标定椭圆提取重投影误差 | | English Keywords:round markercamera calibrationellipse extractionre-projection error | | 基金项目: | | | 摘要点击次数:731 | | 全文下载次数:385 | | 中文摘要: | | 提出了一种基于圆形阵列标定板的张氏相机标定法.利用大恒水星系列相机对不同方向和不同姿态的圆形特征标定板进行20次拍摄，并利用亚像素边缘检测算法对图像视野中的特征进行边缘检测；接着对得到的边缘封闭的特征分别进行圆度、偏心率和凸度的条件限制，提取出图像中符合要求的圆形特征；最后通过标定板上圆形特征的圆心像素坐标与世界坐标的对应关系来进行相机标定.实验结果显示，圆形特征的圆心坐标平均重投影误差在0.007个像素以内，表明了该算法的可行性. | | English Summary: | | A Zhang's camera calibration method based on circular array calibration board was proposed. Firstly,using the Daheng mercury series camera to take photos to the different directions and different attitudes circular features calibration board,the shoots were carried out for 20 times. And a sub-pixel edge extraction algorithm was used to extract the edge of the feature in the image field of view. Then the received closed features were conditionally restricted respectively on circularity, eccentricity and convexity to extract the circular features in the images satisfied the requirements. Finally, the camera calibration was performed by mapping the pixel coordinates of the circular feature points on the calibration board to the world coordinates. Experiments results show that the average re-projection error of the center point coordinates of the circular featurecan be below 0.007 pixels, proving the feasibility of this algorithm. | | 查看全文查看/发表评论下载PDF阅读器 | |
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