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Image stabilization by combining gray-scale projection and representative point matching algorithms

机译:用灰度投影和代表点匹配算法组合图像稳定

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摘要

In this paper, a new digital image stabilization (DIS) algorithm base on gray scale projection algorithm (PA) and representative point matching (RPM) is proposed to stabilize videos. First, the gray-projection algorithm is used to estimate the global motion vectors (GMV). Second, we choose a block from the center of image, and estimate the local motion vectors (LMV) by use of RPM algorithm. Finally, we combine the two groups of vectors and calculate the final global motion vectors. The experimental results show that the proposed algorithm is better than traditional gray scale projection algorithm in accuracy, especially for the video sequences which contained interior moved objects. The algorithm can achieve good stabilizing accuracy with processing speed of 24 fps for 240×320 video sequences, it can meet the real-time processing requirement.
机译:本文提出了一种新的数字图像稳定(DIS)算法基于灰度投影算法(PA)和代表点匹配(RPM)来稳定视频。首先,灰度投影算法用于估计全局运动向量(GMV)。其次,我们选择从图像中心的块,并通过使用RPM算法来估计局部运动矢量(LMV)。最后,我们结合了两组矢量并计算了最终的全局运动向量。实验结果表明,该算法的精度优于传统的灰度投影算法,特别是对于包含内部移动物体的视频序列。该算法可以实现240×320视频序列的24 FPS的处理速度良好的稳定精度,可以满足实时处理要求。

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