摄像机标定研究

Research on camera calibration method

目前,摄像机标定是计算机视觉领域中的研究热点之一,其目的是通过摄像机拍摄的单幅或多幅图像来确定摄像机的参数模型,进而获得摄像机的各项参数,在机器人导航、三维重建、生物医疗、虚拟现实、视觉监控、视觉伺服等领域均有广泛的应用前景。本文综述了传统标定方法,自标定方法和基于主动视觉的标定方法的研究现状,对其优缺点作出评价并指出发展方向。

The camera calibration has become one of the most attractive research topics in the domain of computer vision at present. Its purpose is to confirm the camera parameter model and to obtain the camera parameters through the single or multiple images which photographed by the camera. It has the widespread application prospect in the domain of the robot navigation, three - dimensional reconstruction, bio - medical, virtual reality, visual surveillance as well as the visual servo, ets. This paper summarizes the research status of the traditional calibration, the self- calibration and the active vision calibration method, aualazes theirs advantages and disadvantages and the future development trend.