MoiréTag: Angular Measurement and Tracking with a Passive Marker

Simeng Qiu, Hadi Amata, W. Heidrich
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引用次数: 1

Abstract

Stable, low-cost, and precise visual measurement of directional information has many applications in domains such as virtual and augmented reality, visual odometry, or industrial computer vision. Conventional approaches like checkerboard patterns require careful pre-calibration, and can therefore not be operated in snapshot mode. Other optical methods like autocollimators offer very high precision but require controlled environments and are hard to take outside the lab. Non-optical methods like IMUs are low cost and widely available, but suffer from high drift errors. To overcome these challenges, we propose a novel snapshot method for angular measurement and tracking with Moiré patterns that are generated by binary structures printed on both sides of a glass plate. The Moiré effect amplifies minute angular shifts and translates them into spatial phase shifts that can be readily measured with a camera, effectively implementing an optical Vernier scale. We further extend this principle from a simple phase shift to a chirp model, which allows for full 6D tracking as well as estimation of camera intrinsics like the field of view. Simulation and experimental results show that the proposed non-contact object tracking framework is computationally efficient and the average angular accuracy of 0.17° outperforms the state-of-the-arts.
用被动标记器进行角度测量和跟踪
稳定、低成本和精确的方向信息视觉测量在虚拟和增强现实、视觉里程计或工业计算机视觉等领域有许多应用。像棋盘图案这样的传统方法需要仔细的预先校准,因此不能在快照模式下操作。其他光学方法,如自准直仪,提供非常高的精度,但需要控制环境,很难在实验室外进行。imu等非光学方法成本低,应用广泛,但存在较大的漂移误差。为了克服这些挑战,我们提出了一种新的快照方法,用于角测量和跟踪由印刷在玻璃板两侧的二元结构产生的波纹图案。莫尔维尔效应放大了微小的角移,并将其转化为空间相移,可以很容易地用相机测量,有效地实现了光学游标尺度。我们进一步将这一原理从简单的相移扩展到啁啾模型,该模型允许全6D跟踪以及相机固有特性(如视场)的估计。仿真和实验结果表明,所提出的非接触式目标跟踪框架计算效率高,平均角精度为0.17°,优于目前最先进的跟踪框架。
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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