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Towards Illumination Invariance in the Legged League

机译:迈向有腿联赛中的照明不变性

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To date, RoboCup games have all been played under constant, bright lighting conditions. However, in order to meet the overall goal of RoboCup, robots will need to be able to seamlessly handle changing, natural light. One method for doing so is to be able to identify colors regardless of illumination: color constancy. Color constancy is a relatively recent, but increasingly important, topic in vision research. Most approaches so far have focussed on stationary cameras. In this paper we propose a methodology for color constancy on mobile robots. We describe a technique that we have used to solve a subset of the problem, in real-time, based on color space distributions and the KL-divergence measure. We fully implement our technique and present detailed empirical results in a robot soccer scenario.
机译:迄今为止,RoboCup游戏都在恒定,明亮的光照条件下进行。但是,为了满足RoboCup的总体目标,机器人将需要能够无缝处理不断变化的自然光。这样做的一种方法是无论照明如何都能识别颜色:颜色恒定。色彩恒定性是视觉研究中一个相对较新但越来越重要的话题。到目前为止,大多数方法都集中在固定式摄像机上。在本文中,我们提出了一种用于移动机器人上颜色恒定的方法。我们描述了一种基于色彩空间分布和KL散度度量实时解决问题子集的技术。我们将充分实施我们的技术,并在机器人足球场景中提供详细的实验结果。

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