Cameras Seeing Cameras Geometry,Advances in Applied Clifford Algebras

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Cameras Seeing Cameras Geometry
Advances in Applied Clifford Algebras ( IF 1.1 ) Pub Date : 2022-04-29 , DOI: 10.1007/s00006-022-01211-5
Danail Brezov ₁ , Michael Werman ₂

Affiliation

We study several theoretical aspects of both 2D and 3D intra multi-view geometry of calibrated cameras when all that they can reliably recognize is each other. Starting with minimal reconstructable configurations, we propose a method for obtaining the position-orientation structure of such camera ensembles, up to a global similarity. In the 3D setting we base our analysis on Rodrigues’ vector techniques familiar from mechanics and robotics. We also examine the average number of visible cameras and discuss some kinematic aspects of the problem.

中文翻译：

相机看到相机几何

我们研究了校准相机的 2D 和 3D 内多视图几何的几个理论方面，因为它们可以可靠地识别彼此。从最小的可重构配置开始，我们提出了一种获取此类相机集合的位置-定向结构的方法，直至达到全局相似性。在 3D 环境中，我们的分析基于 Rodrigues 熟悉的机械和机器人技术矢量技术。我们还检查了可见相机的平均数量，并讨论了该问题的一些运动学方面。

更新日期：2022-05-03

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