Dense Correspondence Extraction in Difficult Uncalibrated Scenarios

R. Lakemond, C. Fookes, S. Sridharan
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引用次数: 7

Abstract

The relationship between multiple cameras viewing the same scene may be discovered automatically by finding corresponding points in the two views and then solving for the camera geometry. In camera networks with sparsely placed cameras, low resolution cameras or in scenes with few distinguishable features it may be difficult to find a sufficient number of reliable correspondences from which to compute geometry. This paper presents a method for extracting a larger number of correspondences from an initial set of putative correspondences without any knowledge of the scene or camera geometry. The method may be used to increase the number of correspondences and make geometry computations possible in cases where existing methods have produced insufficient correspondences.
在困难的非校准场景密集对应提取
通过在两个视图中找到对应的点,然后求解相机几何,可以自动发现观看同一场景的多个相机之间的关系。在摄像机网络中,摄像机的位置稀疏,低分辨率摄像机或场景中几乎没有可区分的特征,可能很难找到足够数量的可靠对应来计算几何。本文提出了一种从一组初始假定对应中提取大量对应的方法,而无需了解场景或相机几何形状。该方法可用于增加对应的数量,并在现有方法产生的对应不足的情况下使几何计算成为可能。
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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