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Finding the epipole from uncalibrated optical flow

机译:从未校准的光流中找到极点

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This article presents a novel method for determining the location of the instantaeous epipole in sequence of images acquired by an uncalibrated camera and containing a single, rigid motion (e.g. the camera moves in a static environment). The method uses the full perspective camera model and requires the estimation of the optical flow at a minimum of six image locations. The key observation is that the optical flow equatons can be written in terms of the epipole in a strikingly simple form if the translational and rotational flow components are not separated as performed usually. The epipole location can then be obtained as the minimum of a least-square residual function associated to the computed optical flow. We report and discuss initial experiments on both synthetic and real data and illustrate possible developments of this method towards the use of uncalibrated optical flow for 3-D motion and structure reconstruction.
机译:本文介绍了一种新颖的方法,可用于确定未经校准的相机采集的且包含单个刚性运动(例如,相机在静态环境中移动)的图像序列中瞬时极子的位置。该方法使用全透视相机模型,并且需要估计至少六个图像位置的光流。关键的观察结果是,如果平移流分量和旋转流分量没有像通常那样分开,则光流方程可以以极短的形式写成极点。然后可以将子极位置作为与计算的光流关联的最小二乘残差函数的最小值。我们报告和讨论合成和真实数据的初步实验,并说明此方法可能对未校准的光流用于3-D运动和结构重建的发展。

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