As we all know, in computer vision, conics are widely applied as one of the most underlying image features together with points or lines and sometimes the correspondences of the points or lines are not available, so under the circumstances, conics are also a good choice which could be identified robustly. This paper gives a linear algorithm of estimating pose of camera based on the correspondences...Show More
In theory, the relative pose between the object and the camera can be uniquely estimated from a minimum of four coplanar but noncollinear target points. In practice, the observed image points are always perturbed by homogeneous Gaussian noise, and the pose ambiguities are easily happened. In this paper, an iterative refinement approach with a robust filter strategy is proposed. It utilizes the pos...Show More
A monocular-vision-based coordinate measuring system obtains the 3-D coordinate via calculating the position of a light pen in camera coordinate system which is disturbed seriously by the locational precision of target points. In this paper, a concise onsite light pen calibration method is proposed. It includes three steps. First, the intrinsic and extrinsic camera parameters are estimated from se...Show More
In this paper, an iterative projector calibration method is proposed using multi-frequency phase-shifting methods. With the help of the multi-frequency phase shifting, the projector can `see' the 3D control point from the correspondence between the camera image and the projector image. The 3D control point information is directly adopted instead of computing them from the calibrated camera. Thus, ...Show More