一种高效的视频拼接全景算法

Xin-bo Zhao, Xiaochun Zou, Zhong Ma, Yan Feng
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引用次数: 1

摘要

数字图像拼接是一个活跃的研究领域。总的来说,这种合成全景图的意义可以解释为:第一,增加了光学系统视图的角度。其次,全景图可用于图像检查、编辑、分析和理解。第三,虚拟现实系统可以利用全景来呈现虚拟的三维环境。因此,研究这样一种高效的视频拼接全景算法是必要的,也是可能的。该算法采用基于特征的运动估计器对视频运动模型参数进行估计。因此,我们可以使用结果来组成全景。然后,为了去除前景物体,我们使用全景估计过程。测试结果表明,该算法是有效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Efficient Video Mosaic Panorama Algorithm
Digital image mosaic is an active area of research. Generally, the significances of this synthetic panorama can be explained as follows: Firstly, increasing the angle of the optics system view. Secondly, the panorama can be used for image examining, editing, analysis and understanding. Thirdly, the virtual reality system can use the panorama to appear the virtual 3-D environment. So the research of such an efficient video mosaic panorama algorithm is necessary and possible. The algorithm employs the feature-based motion estimator to estimate the video motion model parameters. Thus, we can use the result to compose the panorama. After that, for the purpose of removing the foreground objects, we use the panorama estimation process. The test results showed that the proposed algorithm is efficient.
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