In this paper, we present a novel zero-shot camera calibration method that estimates camera parameters with no calibration image. It is common sense that we need at least one or more pattern images for camera calibration. However, the proposed method estimates camera parameters from the horizontal and vertical field of view information of the camera without any image acquisition. The proposed method is particularly useful for wide-angle or fisheye cameras that have large image distortion. Image distortion is modeled in the way fisheye lenses are designed and estimated based on the square pixel assumption of the image sensors. The calibration accuracy of the proposed method is evaluated on eight different commercial cameras qualitatively and quantitatively, and compared with conventional calibration methods. The experimental results show that the calibration accuracy of the zero-shot method is comparable to conventional full calibration results. The method can be used as a practical alternative in real applications where individual calibration is difficult or impractical, and in most field applications where calibration accuracy is less critical. Moreover, the estimated camera parameters by the method can also be used to provide proper initialization of any existing calibration methods, making them to converge more stably and avoid local minima.
翻译:在本文中,我们展示了一种新的零光相机校准方法,该方法根据图像传感器的平方像素假设来估计摄像参数。常识是,我们需要至少一台或多幅图案图像来进行相机校准。然而,拟议方法从摄像头的横向和垂直视野信息领域估算相机参数,而没有获取任何图像。拟议方法对于广角或鱼眼相机特别有用,这些相机的图像扭曲作用很大。图像扭曲是以鱼眼镜头的设计方式和根据图像传感器的平方像素假设来估计的。拟议方法的校准准确性,是在质量和数量上对八个不同的商用相机进行评估,并与常规校准方法进行比较。实验结果显示,零光法的校准准确性与常规的全面校准结果相当。在单个校准困难或不切实际应用中,该方法可以作为一种实用的替代方法,而在大多数校准精确度不那么关键的实地应用中,估计的相机参数也可以用来为任何现有的校准方法提供适当的初始化,使其更加精确和避免当地微型校准。