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Automated feature points management for video mosaic construction

机译:用于视频马赛克建筑的自动特征点管理

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This paper presents a two level automatic feature points management method for constructing a seamless entire panorama from video sequence. In the first level, through fusing the number of tracked feature points and the estimated ratio of lost information of the mosaicing image, a feature point quantity management module is developed to select the key frames. In the second level, a feature points quality management technique is used to choose the key points for mosaicing. This module includes a coarse-to-fine method with two steps: (1) Feature points quality based key point subset creation; and (2) Multi-resolution based key point selection. The main contribution of the algorithm is that it is able to achieve robust and fast mosaicing result while maintain the most valuable information of the scene. Experiments are performed using video sequences under different conditions. The results show that the proposed algorithm could achieve robust and efficient video mosaic image.
机译:本文介绍了一个两个自动特征点管理方法,用于从视频序列构建无缝全景。在第一级别,通过熔断追踪特征点的数量和磁盘图像的丢失信息的估计比,开发了一种特征点量管理模块以选择关键帧。在二级,使用特征点质量管理技术来选择镶嵌的关键点。此模块包括具有两个步骤的粗细到精细方法:(1)特征点基于质量基于关键点子集创建; (2)基于多分辨率的关键点选择。算法的主要贡献是它能够实现稳健和快速的镶嵌结果,同时保持场景最有价值的信息。使用不同条件下的视频序列进行实验。结果表明,该算法可以实现坚固高效的视频马赛克图像。

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