A Self-Calibration Method for Rotational Stereo Vision

Self-calibration for imaging sensors is essential to many computer vision applications. In this paper, we proposed a simple self-calibration method of a camera with constant internal parameters for rotational stereo vision. What we mainly utilize is the properties of the scene geometry. The basis of our approach is to calculate the intersections between the vanishing line and the track of the corresponding 3-D points in different images to obtain the images of the circular points. Subsequently, the image of absolute conic can be identified and then the calibration matrix of the camera can be calculated. Experiments on both synthetic and real image sequence are given to show the accuracy of this algorithm.