Computing Epipolar Geometry from Unsynchronized Cameras

Ying Piao, J. Sato
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引用次数: 8

Abstract

Recently, many application systems have been developed by using a large number of cameras. If the 3D points are observed from synchronized cameras, the multiple view geometry of these cameras can be computed and the 3D reconstruction of the scene is available. Thus, the synchronization of multiple cameras is essential. In this paper, we propose a method for finding synchronization of multiple cameras and for computing the epipolar geometry from un- calibrated and unsynchronized cameras. In particular we use the affine invariance on frame numbers of camera images for finding the synchronization. The proposed method is tested by using real image sequences taken from uncalibrated and unsynchronized cameras.
从非同步相机计算极几何
近年来,许多应用系统都采用了大量的摄像机。如果从同步摄像机中观察到三维点,则可以计算这些摄像机的多视图几何形状,从而可以对场景进行三维重建。因此,多摄像机的同步是必不可少的。在本文中,我们提出了一种寻找多相机同步的方法,并从未校准和未同步的相机计算极几何。特别地,我们利用相机图像帧数的仿射不变性来寻找同步。利用未校准和未同步相机的真实图像序列对该方法进行了测试。
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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