移动增强现实中使用前置摄像头图像外推的环境反射再现

Shun Odajima, T. Komuro
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引用次数: 0

摘要

在本文中,我们提出了一种方法来重现真实场景的反射在虚拟对象上,仅使用连接到移动设备前端的相机捕获的图像。由于仅使用前置摄像头无法获取整个场景,因此需要外推前置摄像头图像周围的区域,以获得足够的场景进行反射。利用深度神经网络进行图像变换外推,利用前一帧的外推结果实现高质量、稳定的外推。作为评估外推和反射再现质量的实验结果,我们确认外推图像和再现的反射看起来都很自然。我们还进行了一个实验来评估用户对反射的印象。结果表明,该方法对了解AR的被试在反射的自然度和物质感知方面是有效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Reproduction of Environment Reflection using Extrapolation of Front Camera Images in Mobile AR
In this paper, we propose a method to reproduce the reflection of a real scene on a virtual object using only the images captured by a camera attached to the front of a mobile device. Since it is not possible to acquire the entire scene using only the front camera, the area surrounding the front camera image is extrapolated to obtain a sufficient scene for reflection. Image transformation using deep neural networks is used for extrapolation, and high-quality and stable extrapolation is realized by using the extrapolation results in the previous frame. As a result of experiment that evaluated the quality of extrapolation and reproduction of reflection, we confirmed that both extrapolated images and reproduced reflection looked natural. We also conducted an experiment to evaluate users' impression of the reflection. The results showed that the proposed method was effective for participants who knew about AR in naturalness of reflection and material perception.
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