Visibility of Multiple Cameras in a Scene with Unknown Geometry

Liuxin Zhang, Yunde Jia
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Abstract

In this paper, we investigate the problem of determining the visible regions of multiple cameras in a 3D scene without a priori knowledge of the scene geometry. Our approach is based on a variational energy functional where both the unresolved visibility information of multiple cameras and the unknown scene geometry are included. We cast visibility estimation and scene geometry reconstruction as an optimization of the variational energy functional amenable for minimization with the Euler-Lagrange driven evolution. Starting from any initial value, the accurate visibility of multiple cameras as well as the true scene geometry can be obtained at the end of the evolution. Experimental results show the validity of our approach.
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未知几何场景中多摄像机的可见性
在本文中,我们研究了在没有先验的场景几何知识的情况下确定3D场景中多个摄像机的可见区域的问题。我们的方法是基于变分能量函数,其中包括多个相机的未解决的可见性信息和未知的场景几何形状。我们将可视性估计和场景几何重建作为一种可适应欧拉-拉格朗日驱动演化的最小化变分能量函数的优化。从任意初始值开始,在进化结束时可以获得多台摄像机的准确可见性以及真实的场景几何形状。实验结果表明了该方法的有效性。
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