结合灰度投影和代表性点匹配算法的图像稳定

Shuangwu Li, Jinqing Qi
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引用次数: 6

摘要

本文提出了一种基于灰度投影算法(PA)和代表性点匹配算法(RPM)的视频稳像算法。首先,利用灰度投影算法估计全局运动矢量(GMV);其次,我们从图像中心选择一个块,并使用RPM算法估计局部运动向量(LMV)。最后,结合两组矢量,计算最终的全局运动矢量。实验结果表明,该算法在精度上优于传统的灰度投影算法,特别是对于含有内部运动目标的视频序列。该算法对240×320视频序列的稳定精度较高,处理速度可达24fps,满足实时性的处理要求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Image stabilization by combining gray-scale projection and representative point matching algorithms
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.
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