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Stabilization of Jittery Videos Using Feature Point Matching Technique

机译:使用特征点匹配技术稳定抖动视频

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Video capturing by non-professionals will lead to unanticipated effects. such as image distortion, image blurring etc. Many researchers focused on these drawbacks to enhance the quality of videos. In this paper an algorithm based on s-R-t transform is proposed to stabilize jittery videos. A stable output video is obtained without the effect of jitter which is caused due to shaking of handheld camera during video recording. In this technique firstly, salient points from each frame from the input video are identified using FAST algorithm. Camera motion is corrected by affine transform and motion compensation is performed by s-R-t transform which gives stabilized video. Optimization includes the quality of the video stabilization. This method has shown good result in terms of stabilization and it discarded distortion from the output videos recorded in different circumstances.
机译:非专业人士的视频捕获将导致意外的效果。如图像失真,图像模糊等。许多研究人员专注于这些缺点,以提高视频的质量。本文提出了一种基于S-R-T变换的算法来稳定抖动视频。在没有抖动由于手持式摄像机期间在视频记录期间摇动而导致的抖动而没有抖动的稳定输出视频。在该技术中,首先,使用快速算法识别来自输入视频的每个帧的突出点。通过仿射变换校正摄像机运动,并且通过S-R-T变换来执行运动补偿,其提供稳定的视频。优化包括视频稳定的质量。该方法在稳定化方面表现出良好的结果,并且它从不同情况下记录的输出视频中丢弃失真。

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