在计算机视觉研究中, 传统的小视场、可见光相机获取信息有限, 对特殊环境适应能力差。为了增加信息的获取量, 提高适应环境的能力, 需要用到双目超大视场红外相机。针对双目超大视场红外相机标定精度低的问题, 基于一种通用相机模型, 结合主动红外辐射标定板, 提出了一种标定方法。通过该相机模型中的标定原理, 对双目超大视场红外相机内部参数和外部参数进行了准确标定。实验结果显示: 焦距、基线距离标定误差、标定角点平均重投影误差分别低于0.99%,0.24%,0.60像素, 较高的标定精度验证了所提方法的正确性。

In computer vision research, traditional small field-of-view, visible-light cameras have limited access to information and poor adaptability to special environments.In order to increase the amount of acquired information and improve the adapatability to the environment, it is necessary to use a binocular ultra-wide-angle infrared camera.Aiming at the problem of low calibration accuracy of binocular ultra-wide-angle infrared camera, based on a general camera model, and by use of the active infrared radiation calibration plate, a calibration method is proposed.Through the calibration in the camera model, the internal parameters and external parameters of the binocular ultra-wide-angle infrared camera are accurately calibrated.The experimental results show that the focal length, baseline distance calibration error and the mean reprojection error of the calibration corners are lower than 0.99%, 0.24% and 0.60 pixels, respectively.The high calibration accuracy verifies the correctness of the proposed method.