A Linear Extrinsic Calibration of Kaleidoscopic Imaging System from Single 3D Point
A Linear Extrinsic Calibration of Kaleidoscopic Imaging System from Single 3D Point
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DOI：
10.1109/cvpr.2017.46
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发表时间：
2017-03
期刊：
影响因子：
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通讯作者：
Kosuke Takahashi;A. Miyata;S. Nobuhara;T. Matsuyama
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文献类型：
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作者：
Kosuke Takahashi;A. Miyata;S. Nobuhara;T. Matsuyama
本文提出了一种新的万花筒成像系统外标定方法，该方法通过估计镜面的法线和距离来实现。本文要解决的问题是对多次反射中所有镜面参数的同时估计。与使用参考3D对象的一对直接和镜像图像来逐镜估计参数的传统方法不同，我们的方法将同时估计问题归结为求解一组线性方程。本文的主要贡献是介绍了一种从未知几何的单个3D点的万花筒二维投影中线性估计多个镜面参数的方法。对合成图像和真实图像的实验结果表明，与传统方法相比，该算法具有较好的性能。
This paper proposes a new extrinsic calibration of kaleidoscopic imaging system by estimating normals and distances of the mirrors. The problem to be solved in this paper is a simultaneous estimation of all mirror parameters consistent throughout multiple reflections. Unlike conventional methods utilizing a pair of direct and mirrored images of a reference 3D object to estimate the parameters on a per-mirror basis, our method renders the simultaneous estimation problem into solving a linear set of equations. The key contribution of this paper is to introduce a linear estimation of multiple mirror parameters from kaleidoscopic 2D projections of a single 3D point of unknown geometry. Evaluations with synthesized and real images demonstrate the performance of the proposed algorithm in comparison with conventional methods.