Mirror-based Camera Pose Estimation Using an Orthogonality Constraint

Q1 Computer Science
Kosuke Takahashi, S. Nobuhara, T. Matsuyama
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引用次数: 15

Abstract

This paper is aimed at employing mirrors to estimate relative posture and position of camera, i.e., extrinsic parameters, against a 3D reference object that is not directly visible from the camera. The key contribution of this paper is to propose a novel formulation of extrinsic camera calibration based on orthogonality constraint which should be satisfied by all families of mirror-reflections of a single reference object. This allows us to obtain a larger number of equations which contribute to make the calibration more robust. We demonstrate the advantages of the proposed method in comparison with a state-of-the-art by qualitative and quantitative evaluations using synthesized and real data.
使用正交性约束的基于反光镜的相机姿态估计
本文的目的是利用反射镜来估计相机的相对姿态和位置,即外部参数,针对一个三维参考对象,不是直接从相机可见。本文的主要贡献在于提出了一种基于正交性约束的摄像机外部标定的新公式,该公式应满足单个参考物体的所有反射族。这使我们能够获得更多的方程,这些方程有助于使校准更加鲁棒。我们通过使用合成和真实数据进行定性和定量评估,与最先进的方法相比,证明了所提出方法的优点。
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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来源期刊
IPSJ Transactions on Computer Vision and Applications
IPSJ Transactions on Computer Vision and Applications Computer Science-Computer Vision and Pattern Recognition
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