Maintaining multiple motion model hypotheses over many views to recover matching and structure

P. Torr, A. Fitzgibbon, Andrew Zisserman
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引用次数: 125

Abstract

In order to recover structure from images it is desirable to use many views to obtain the best possible estimates. However, whilst recovering projective structure and motion from such extended sequences problems arise that are not apparent from a general view-point/structure approach. Foremost amongst these are (a) maintaining image correspondences consistently through many images, and (b) identifying images, within the sequence, for which structure cannot be reliably recovery. Within this paper the use of multiple motion model hypotheses is explored as an aid to solve both of these problems.
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在多个视图上保持多个运动模型假设,以恢复匹配和结构
为了从图像中恢复结构,需要使用多个视图来获得最佳估计。然而,当从这种扩展序列中恢复投影结构和运动时,从一般的观点/结构方法中出现的问题并不明显。其中最重要的是(a)通过许多图像一致地保持图像对应,以及(b)识别序列中结构无法可靠恢复的图像。本文探讨了利用多运动模型假设来帮助解决这两个问题。
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