摘要
In this paper,we use 1D rotating objects to calibrate camera.The calibration object has three collinear points.It is not necessary for the object to rotate around one of its endpoints as before;instead,it rotates around the middle point in a plane.In this instance,we can use two calibration constraints to compute the intrinsic parameters of a camera.In addition,when the 1D object moves in a plane randomly,the proposed technique remains valid to compute the intrinsic parameters of a camera.Experiments with simulated data as well as with real images show that our technique is accurate and robust.
In this paper, we use 1D rotating objects to calibrate camera. The calibration object has three collinear points. It is not necessary for the object to rotate around one of its endpoints as before; instead, it rotates around the middle point in a plane. In this instance, we can use two calibration constraints to compute the intrinsic parameters of a camera. In addition, when the 1D object moves in a plane randomly, the proposed technique remains valid to compute the intrinsic parameters of a camera. Experiments with simulated data as well as with real images show that our technique is accurate and robust.
