Simulation based Camera Localization under a Variable Lighting Environment
Simulation based Camera Localization under a Variable Lighting Environment
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DOI：
10.2312/egve.20161437
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发表时间：
2016-10
期刊：
影响因子：
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通讯作者：
T. Mashita;Alexander Plopski;Akira Kudo;Tobias Höllerer;K. Kiyokawa;H. Takemura
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文献类型：
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作者：
T. Mashita;Alexander Plopski;Akira Kudo;Tobias Höllerer;K. Kiyokawa;H. Takemura
从场景的特征数据库中定位用户是呈现本地化增强现实 (AR) 内容的基本且必要的步骤。通常，由于准备它需要时间和精力，这样的数据库描述场景的单一外观。然而，外观取决于多种因素，例如太阳的位置和云量。在不同光照条件下观察场景会导致定位的成功率和准确性下降。为了解决这个问题，我们建议根据多种不同照明条件下场景模型的模拟外观来生成特征数据库。我们还建议扩展定位中使用的特征描述符，以参数化方式表示它们在不同照明条件下的变化。我们在模拟和现实世界实验中将我们的方法与基于 L2 范数的标准表示和匹配进行比较。我们的结果表明，我们的模拟环境令人满意地表示了场景的外观，并改进了单个数据库的特征匹配。所提出的特征描述符以更少的特征点和更低的处理成本实现了更高的定位率。
Localizing the user from a feature database of a scene is a basic and necessary step for presentation of localized augmented reality (AR) content. Commonly such a database depicts a single appearance of the scene, due to time and effort required to prepare it. However, the appearance depends on various factors, e.g., the position of the sun and cloudiness. Observing the scene under different lighting conditions results in a decreased success rate and accuracy of the localization. To address this we propose to generate the feature database from a simulated appearance of the scene model under a number of different lighting conditions. We also propose to extend the feature descriptors used in the localization with a parametric representation of their changes under varying lighting conditions. We compare our method with a standard representation and matching based on L2-norm in a simulation and real world experiments. Our results show that our simulated environment is a satisfactory representation of the scene's appearance and improves feature matching over a single database. The proposed feature descriptor achieves a higher localization ratio with fewer feature points and a lower process cost.