无需校准的卷帘门拆卸

Matthias Grundmann, Vivek Kwatra, Daniel Castro, Irfan Essa
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引用次数: 177

摘要

我们提出了一种新的算法来有效地去除未校准的流媒体视频中的滚动快门失真。我们提出的方法是免校准的,因为它不需要对所使用的相机有任何了解,也不需要使用专门记录的校准序列进行校准。我们的算法可以在不同的焦距下执行滚动快门去除,例如在配备光学变焦的CMOS相机的视频中。我们在广泛的摄像机和视频序列中评估我们的方法,证明了鲁棒性、可扩展性和可重复性。我们还进行了一项用户研究,该研究表明,与其他最先进的方法相比,我们的算法的输出更受青睐。我们的算法计算效率高,易于并行化,并且对使用不同技术的各种相机引入的具有挑战性的工件具有鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Calibration-free rolling shutter removal
We present a novel algorithm for efficient removal of rolling shutter distortions in uncalibrated streaming videos. Our proposed method is calibration free as it does not need any knowledge of the camera used, nor does it require calibration using specially recorded calibration sequences. Our algorithm can perform rolling shutter removal under varying focal lengths, as in videos from CMOS cameras equipped with an optical zoom. We evaluate our approach across a broad range of cameras and video sequences demonstrating robustness, scaleability, and repeatability. We also conducted a user study, which demonstrates preference for the output of our algorithm over other state-of-the art methods. Our algorithm is computationally efficient, easy to parallelize, and robust to challenging artifacts introduced by various cameras with differing technologies.
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