| 一种改进的摄像头视频实时拼接方法 |
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| 引用本文： | 徐杰,金湘亮,自瑞广.一种改进的摄像头视频实时拼接方法[J].计算机工程与应用,2013(24):179-181,237. |
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| 作者姓名： | 徐杰 金湘亮 自瑞广 |
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| 作者单位： | 湘潭大学材料与光电物理学院,湖南湘潭411105 |
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| 基金项目： | 湖南省自然科学基金（No.11JJ2036）;湖南省教育厅资助科研项目（No.11A116）. |
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| 摘 要： | 针对普通摄像头水平视角较小的问题，通过同时采集具有一定重叠区域的摄像头视频帧图像，基于尺度不变特征变换（ScaleInvariantFeatureTransform，SIFT）特征点，用二分哈希搜索算法（DichotomyBasedHash，DBH）进行匹配，用随机采样一致（RandomSampleConsensus，RANSAC）算法消除误匹配，得到帧图像拼接映射关系。实验结果表明，该方法能有效地实现摄像头视频实时拼接，克服了既有方法在重叠区域小于20％时失效的不足，在重叠区域为10％左右时仍能取得有效的拼接。
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| 关 键 词： | 尺度不变特征变换（SIFT）特征点 图像匹配 二分哈希 实时 视频拼接 |
Improved real-time camera video mosaic method |
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| Affiliation: | XU Jie, JIN Xiangliang, BAI Ruiguang Faculty of Materials, Optoelectronics and Physics, Xiangtan University, Xiangtan, Hunan 411105, China |
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| Abstract: | Aiming at the problem that the general camera＇ s field of view is too small, by collecting two frame images from different cameras which have some overlap regions simultaneously, the SIFT algorithm is used to find the video frame image feature points; the Dichotomy Based Hash （DBH） algorithm is used to match the SIFT feature points; the Random Sample Consensus （RANSAC） algorithm is used to eliminate the false matches, and the mosaiced video can be obtained. Experiments show that this method can mosaic the video frame in real-time effectively. In addition, the method is feasible to low overlapped（even to 10%） video image. |
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| Keywords: | Scale Invariant Feature Transform （SIFT） feature point image registration Dichotomy Based Hash （DBH） real-time video mosaic |
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