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An image mosaicing approach for video sequences based on space-time manifolds

机译:基于时空流形的视频序列图像拼接方法

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In order to utilize the repetitive information among the video sequence more reasonably, this paper proposes an image mosaicing approach based on space-time manifolds for the video sequence taking the properties of high-overlapped ratio between neighbor frames and multiple frames into account. Firstly, we iterate Lucas-Kanade optical flow under Gaussian pyramid strategy to compute the motion parameters between neighbor frames with higher accuracy and align the sequence, in the meantime, eliminate the brightness difference among the neighbors combining with the result of motion computation, and then stitch together the whole sequence whose brightness is already uniform into a high resolution image using the space-time manifolds mosaicing technique. It was verified by the experiment that the proposed approach was very effective to video sequences and the mosaicing result was nice.
机译:为了更合理地利用视频序列之间的重复信息,本文提出了一种基于时空流形的视频序列图像拼接方法,该方法考虑了相邻帧与多个帧之间的高重叠率特性。首先,我们在高斯金字塔策略下迭代Lucas-Kanade光流,以较高的精度计算相邻帧之间的运动参数,并对齐序列,同时,结合运动计算的结果消除相邻像素之间的亮度差异,然后使用时空流形拼接技术将亮度已经均匀的整个序列拼接在一起,形成高分辨率的图像。实验证明,该方法对视频序列非常有效,拼接效果很好。

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