【作者】 徐伟； 郑利平； 刘晓平；

【Author】 Xu Wei Zheng Li-ping Liu Xiao-ping VCC Division,School of Computer & Information,Hefei University of Technology,Hefei,230009,China

【机构】 合肥工业大学计算机与信息学院可视化与协同计算(VCC)研究室；

【摘要】 摄像机的标定对于计算机视觉中的许多应用来说具有非常重要的意义。本文提出一种标定针孔摄像机内外参数的新方法。文章首先根据已知空间某平面上的平行四边形的空间几何关系,计算出各个顶点的相对深度比,得到各点在摄像机坐标系下坐标的解析表达,最后利用四边形几何性质,列方程求解出摄像机参数和各点的相对深度,从而完成了标定。该方法不仅可以线性的确定摄像机坐标系与世界坐标系之间的旋转和平移矩阵,还可以同时确定摄像机的焦距和各点的相对深度,具有一定的理论价值。实验表明该方法精度较高,具有良好的实用性,完全满足针孔摄像机的标定需求。更多还原

【Abstract】 Camera Calibration is essential to many computer vision applications.This paper proposes a new method for computing pinhole camera’s interior and exterior parameters.Firstly,calculate the every point’s relative depth rate in terms of the parallelogram geometry relationship.Meanwhile,we can acquire every point’s analytical expression in camera coordinates.Finally,the focal length and other camera parameters can be drawn in terms of series functions.Besides the rotation and translation matrix,the camera’s focal length and relative depth also can be determined in our method.It advances 3D computer vision one more step from laboratory environments to real world use.The result of experiment proved that this method is simple and efficient,can be able to meet the requirement of pin-hole model camera calibration.更多还原