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基于球体的分层相机标定方法。

A stratified approach for camera calibration using spheres.

机构信息

Department of Computer Science,The University of Hong Kong, Pokfulam, Hong Kong.

出版信息

IEEE Trans Image Process. 2011 Feb;20(2):305-16. doi: 10.1109/TIP.2010.2063035. Epub 2010 Aug 3.

Abstract

This paper proposes a stratified approach for camera calibration using spheres. Previous works have exploited epipolar tangents to locate frontier points on spheres for estimating the epipolar geometry. It is shown in this paper that other than the frontier points, two additional point features can be obtained by considering the bitangent envelopes of a pair of spheres. A simple method for locating the images of such point features and the sphere centers is presented. An algorithm for recovering the fundamental matrix in a plane plus parallax representation using these recovered image points and the epipolar tangents from three spheres is developed. A new formulation of the absolute dual quadric as a cone tangent to a dual sphere with the plane at infinity being its vertex is derived. This allows the recovery of the absolute dual quadric, which is used to upgrade the weak calibration to a full calibration. Experimental results on both synthetic and real data are presented, which demonstrate the feasibility and the high precision achieved by our proposed algorithm.

摘要

本文提出了一种基于球体的分层相机标定方法。先前的工作利用极线切线在球体上定位前沿点来估计极线几何形状。本文表明,除了前沿点之外,通过考虑一对球体的双切线包络还可以获得另外两个点特征。本文提出了一种简单的方法来定位这些点特征和球心的图像。开发了一种使用这些恢复的图像点和来自三个球体的极线切线在平面加视差表示中恢复基本矩阵的算法。将绝对对偶二次曲面作为具有无穷远点作为顶点的对偶球的切锥进行了新的公式推导。这允许恢复绝对对偶二次曲面,将弱标定升级为完全标定。本文在合成数据和真实数据上进行了实验,结果表明了我们提出的算法的可行性和高精度。

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