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Polarization-Based Illumination Detection for Coherent Augmented Reality Scene Rendering in Dynamic Environments

机译:动态环境中基于极化的照明检测,用于相干增强现实场景渲染

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A virtual object that is integrated into the real world in a perceptually coherent manner using the physical illumination information in the current environment is still under development. Several researchers investigated the problem producing a high-quality resu however, pre-computation and offline availability of resources were the essential assumption upon which the system relied. In this paper, we propose a novel and robust approach to identifying the incident light in the scene using the polarization properties of the light wave and using this information to produce a visually coherent augmented reality within a dynamic environment. This approach is part of a complete system which has three simultaneous components that run in real-time: (ⅰ) the detection of the incident light angle, (ⅱ) the estimation of the reflected light, and (ⅲ) the creation of the shading properties which are required to provide any virtual object with the detected lighting, reflected shadows, and adequate materials. Finally, the system performance is analyzed where our approach has reduced the overall computational cost.
机译:使用当前环境中的物理照明信息以感知连贯的方式集成到现实世界中的虚拟对象仍在开发中。一些研究人员调查了产生高质量结果的问题。但是,预计算和资源的脱机可用性是系统所依赖的基本假设。在本文中,我们提出了一种新颖而强大的方法,该方法使用光波的偏振特性识别场景中的入射光,并使用此信息在动态环境中生成视觉上连贯的增强现实。该方法是完整系统的一部分,该系统具有三个同时运行的实时组件:(ⅰ)检测入射光角度,(ⅱ)估计反射光,以及(,)创建阴影为任何虚拟物体提供检测到的照明,反射阴影和足够材料所需的属性。最后,分析了我们的方法降低了总体计算成本的系统性能。

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