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Rectifying rolling shutter video from hand-held devices

机译:纠正来自手持设备的卷帘式视频

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This paper presents a method for rectifying video sequences from rolling shutter (RS) cameras. In contrast to previous RS rectification attempts we model distortions as being caused by the 3D motion of the camera. The camera motion is parametrised as a continuous curve, with knots at the last row of each frame. Curve parameters are solved for using non-linear least squares over inter-frame correspondences obtained from a KLT tracker. We have generated synthetic RS sequences with associated ground-truth to allow controlled evaluation. Using these sequences, we demonstrate that our algorithm improves over to two previously published methods. The RS dataset is available on the web to allow comparison with other methods.
机译:本文提出了一种校正来自滚动快门(RS)摄像机的视频序列的方法。与以前的RS校正尝试相反,我们对由摄像机的3D运动引起的失真进行建模。摄像机的运动参数化为连续曲线,每帧的最后一行有一个结。对于从KLT跟踪器获得的帧间对应关系,使用非线性最小二乘法求解曲线参数。我们已经生成了具有相关地面真相的合成RS序列,可以进行受控评估。使用这些序列,我们证明了我们的算法已将其改进为两个以前发布的方法。 RS数据集可从Web上获得,以便与其他方法进行比较。

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