Illumination independent marker tracking using cross-ratio invariance

V. Agnus, S. Nicolau, L. Soler
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引用次数: 2

Abstract

Marker tracking is used in numerous applications. Depending on the context and its constraints, tracking accuracy can be a crucial component of the application. In this paper, we firstly highlight that the tracking accuracy depends on the illumination, which is usually not controlled in most applications. Particularly, we show how corner detection can shift of several pixels when light power or background context change, even if the camera and the marker are static in the scene. Then, we propose a method, based on the cross ratio invariance, that allows to re-estimate the corner extraction so that the cross ratio of the marker model corresponds to the one computed from the extracted corners in the image. Finally, we show on real data that our approach improves the tracking accuracy, particularly along the camera depth axis, up to several millimeters, depending on the marker depth.
基于交叉比不变性的光照无关标记跟踪
标记跟踪在许多应用中使用。根据上下文及其约束,跟踪准确性可能是应用程序的关键组成部分。在本文中,我们首先强调了跟踪精度取决于光照,而光照在大多数应用中通常不受控制。特别是,我们展示了角检测如何在光功率或背景环境变化时移动几个像素,即使相机和标记在场景中是静态的。然后,我们提出了一种基于交叉比不变性的方法,该方法允许重新估计角点提取,使标记模型的交叉比对应于从图像中提取的角点计算得到的交叉比。最后,我们在真实数据上展示了我们的方法提高了跟踪精度,特别是沿着相机深度轴,根据标记深度高达几毫米。
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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