Alignment of non-overlapping sequences

Y. Caspi, M. Irani
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引用次数: 115

Abstract

This paper shows how two image sequences that have no spatial overlap between their fields of view can be aligned both in time and in space. Such alignment is possible when the two cameras are attached closely together and are moved jointly in space. The common motion induces "similar" changes over time within the two sequences. This correlated temporal behavior is used to recover the spatial and temporal transformations between the two sequences. The requirement of "coherent appearance" in standard image alignment techniques is therefore replaced by "coherent temporal behavior", which is often easier to satisfy. This approach to alignment can be used not only for aligning nan-overlapping sequences, but also for handling other cases that are inherently difficult for standard image alignment techniques. We demonstrate applications of this approach to three real-world problems: (i) alignment of non-overlapping sequences for generating wide-screen movies, (ii) alignment of images (sequences) obtained at significantly different zooms, for surveillance applications, and (iii) multi-sensor image alignment for multi-sensor fusion.
非重叠序列的比对
本文介绍了视场之间没有空间重叠的两个图像序列如何在时间和空间上对齐。当两个相机紧密连接在一起并在空间中共同移动时,这种对齐是可能的。随着时间的推移,共同的运动在两个序列中引起了“相似”的变化。这种相关的时间行为被用来恢复两个序列之间的空间和时间转换。因此,标准图像对齐技术中对“相干外观”的要求被通常更容易满足的“相干时间行为”所取代。这种对齐方法不仅可以用于对齐纳米重叠序列,还可以用于处理标准图像对齐技术固有困难的其他情况。我们演示了这种方法在三个现实世界问题中的应用:(i)用于生成宽屏电影的非重叠序列的对齐,(ii)用于监视应用的在显著不同变焦下获得的图像(序列)的对齐,以及(iii)用于多传感器融合的多传感器图像对齐。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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