New Geometric Interpretation and Analytic Solution for Quadrilateral Reconstruction

Joo-Haeng Lee
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引用次数: 5

Abstract

A new geometric framework, called generalized coupled line camera (GCLC), is proposed to derive an analytic solution to reconstruct an unknown scene quadrilateral and the relevant projective structure from a single or multiple image quadrilaterals. We extend the previous approach developed for rectangle to handle arbitrary scene quadrilaterals. First, we generalize a single line camera by removing the centering constraint that the principal axis should bisect a scene line. Then, we couple a pair of generalized line cameras to model a frustum with a quadrilateral base. Finally, we show that the scene quadrilateral and the center of projection can be analytically reconstructed from a single view when prior knowledge on the quadrilateral is available. A completely unknown quadrilateral can be reconstructed from four views through non-linear optimization. We also describe a improved method to handle an off-centered case by geometrically inferring a centered proxy quadrilateral, which accelerates a reconstruction process without relying on homography. The proposed method is easy to implement since each step is expressed as a simple analytic equation. We present the experimental results on real and synthetic examples.
四边形重构的新几何解释与解析解
提出了一种新的几何框架——广义耦合线相机(GCLC),推导了从单个或多个图像四边形重构未知场景四边形及其相关投影结构的解析解。我们将之前针对矩形开发的方法扩展到处理任意场景四边形。首先,我们通过去除主轴应该平分场景线的中心约束来推广单线相机。然后,我们耦合了一对广义线相机来模拟具有四边形基底的截锥体。最后,我们证明了当四边形的先验知识可用时,可以从单个视图解析重建场景四边形和投影中心。通过非线性优化,可以从四个视图重构一个完全未知的四边形。我们还描述了一种改进的方法,通过几何推断一个有中心的代理四边形来处理偏离中心的情况,这加快了重建过程,而不依赖于单应性。该方法易于实现,因为每一步都用简单的解析方程表示。给出了实际算例和综合算例的实验结果。
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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