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Estimating the Best Reference Homography for Planar Mosaics From Videos

机译：估计视频的平面马赛克最佳参考相同

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摘要

This paper proposes a novel strategy to find the best reference homography in mosaics from video sequences. The reference homography globally minimizes the distortions induced on each image frame by the mosaic homography itself. This method is designed for planar mosaics on which a bad choice of the first reference image frame can lead to severe distortions after concatenating several successive homographies. This often happens in the case of underwater mosaics with non-flat seabed and no georeferential information available. Given a video sequence of an almost planar surface, sub-mosaics with low distortions of temporally close image frames are computed and successively merged according to a hierarchical clustering procedure. A robust and effective feature tracker using an approximated global position map between image frames allows us to build the mosaic also between locally close but not temporally consecutive frames. Sub-mosaics are successively merged by concatenating their relative homographies with another reference homography which minimizes the distortion on each frame of the fused image. Experimental results on challenging real underwater videos show the validity of the proposed method.
机译：本文提出了一种新颖的策略，可以从视频序列中找到最佳参考象征。参考配音全球最小化马赛克同住本身在每个图像框架上引起的扭曲。该方法设计用于平面马赛克，其中第一参考图像框架的错误选择可能导致若干连续沉默后的严重扭曲。这通常发生在带有非平面海底的水下马赛克和没有可用的地理信息信息的情况下发生。给定几乎平面表面的视频序列，计算具有时间闭合图像帧的低失真的子马赛克，并根据分层聚类过程连续合并。使用近似的图像帧之间的近似全局位置映射的鲁棒和有效的特征跟踪器允许我们在局部关闭但不是时间连续帧之间也构建镶嵌。通过将其相对识别与另一参考识别相互联系，通过将其相对识别连续地合并，这使得能够最小化熔融图像的每一帧上的失真。实验结果对真正的水下视频有挑战，展示了所提出的方法的有效性。

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