中心折反射相机标定方法综述

Review of central catadioptric camera calibration methods

近十几年来,计算机视觉越来越受研究者们的欢迎,特别是全景相机由于其具有较大的视场而被广泛应用到许多领域,包括视频监控、机器人导航、电视电话会议、场景重建以及虚拟现实等。摄像机标定是从二维图像获得三维信息必不可少的一步,摄像机标定结果的好坏直接决定着三维重建结果以及其它计算机视觉应用效果的好坏,所以,研究摄像机的标定方法具有重要的理论研究意义和重要的实际应用价值。这里将2000年到2012年折反射相机标定方法按照标定像的不同分为五大类:基于线的标定、基于二维标定块标定、基于三维点的标定、基于球的标定和自标定,且简要分析其优缺点。

In recent dozen years, computer vision becomes more popular, in which omnidirectional camera has a larger field of view （FOV） and widely been used in many fields,such as：robot navigation, visual surveillance, virtual reality, three-dimensional reconstruction, and so on. Camera calibration is an essential step to obtain three-dimensional geometric information from a two-dimensional image. Camera calibration results directly decide the results of 3-D reconstruction and other computer vision application effect. Hence, the study of such camera calibration method has important theoretical significance and practical applications. The paper classifies these methods from 2000 to 2012, by means of the difference calibration blocks, into five categories：calibration based on line;calibration based on two-dimensional cal- ibration block; calibration based on three-dimensional point; calibration based on balls; self-calibration. And these methods＇advantages and disadvantages are analyzed.