Estimation of Internal and External Parameters for Camera Calibration Using 1D Pattern

Xiangjian He, Huaifeng Zhang, N. Hur, Jinwoong Kim, Qiang Wu, Taeone Kim
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引用次数: 15

Abstract

Camera calibration is to estimate the intrinsic and extrinsic parameters of a camera. Most of object-based calibration methods used 3D or 2D pattern. A novel and more flexible 1D object-based calibration was introduced only a couple of years ago, but merely for estimation of intrinsic parameters. The estimation of extrinsic papers is essential when multiple cameras are involved for simultaneously taking images from different view angles and when the knowledge of relative locations between the cameras is required. Though it is relatively simple using 2D or 3D calibration pattern, the estimation of extrinsic parameters is not obvious using 1D pattern. In this paper, we will perform a 1D camera calibration involving both intrinsic and extrinsic parameters.
基于一维模式的摄像机标定内外参数估计
摄像机标定是对摄像机的内部参数和外部参数进行估计。基于目标的标定方法大多采用三维或二维模式。一种新颖且更灵活的基于一维物体的校准方法仅在几年前被引入,但仅用于估计固有参数。当涉及多个相机同时从不同视角拍摄图像时,以及需要了解相机之间的相对位置时,外部纸张的估计是必不可少的。虽然使用二维或三维定标模式相对简单,但使用一维模式对外部参数的估计不明显。在本文中,我们将执行一个涉及内在和外在参数的一维摄像机校准。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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