基于标记的游客图像阴影AR系统

B. Singh, Siddharth Malladi, Goli Suryachaitanya, Alwala Dheeraj
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引用次数: 0

摘要

在旅游景点,很多情况下,人工导游收费很高,而且只有在一些地方才有导游手册。这项工作是关于构建一个旅行者友好的应用程序,可以引入基于ar的体验。AR是一项非常高的技术,但它仍然存在缺陷,阻碍了社区大规模实施它。然而,它可以改变我们看待世界的方式。基于标记的AR提供了非常身临其境的体验,并密切模仿现实世界;这样,用户与用户的互动就变得容易了。这项技术需要很高的计算能力,并且需要大量的内存。我们使用Android Studio来制作程序,我们使用ARCore库作为我们应用的AR渲染引擎。在我们的应用中,当我们将手机投射到图像上时,会播放与该图像相关的视频(AR场景),取代我们应用中的图像。云数据库和内部存储器存储增强的场景和相应的图像。基于标记的AR技术和图像阴影技术实现了这一点。我们使用历史图像或场景作为锚点标记。设计一个AR模型,从相机馈送中获取每一帧,处理它,并最终渲染将投影到场景中的AR对象。我们解决了增强现实的问题,如光线估计、运动跟踪、环境理解,并通过微调应用程序。通过这一实现,人们将能够在旅游区使用它,它有可能比人类导游更好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Marker-based AR System on Image Shadowing for Tourists
At tourist attractions, in more cases, the human guides charge hefty amounts, and a manual is only available in some places. This work is about building a traveler-friendly application that can introduce AR-based experiences. AR is an immensely high technology, but it still has defects that are stopping the community from implementing it on a large scale. Nevertheless, it can change the way we look at the world. Marker-based AR provides a very immersive experience and closely mimics the real world; with this, user engagement with the user becomes easy. This technology demands high computational power and captures a sizable amount of memory. Android Studio was used to make the program, and we used the ARCore library as the AR rendering engine for our app. In our app, when we project the phone at an image, a video (AR scene) related to the image will be played, replacing the image in our application. A cloud database and internal storage store the augmented scenes and the corresponding images. Marker-based AR technology and image shadowing techniques achieve this. We used the historical image or scene as the anchor point marker. Designed an AR model that takes each frame from the camera feed, processes it, and finally renders the AR objects that will be projected into the scene. We tackled Augmented reality problems like light estimation, motion tracking, environmental understanding, and by fine-tuning the application. Through this implementation, people will be able to use it in tourist areas, and it has the potential to be better than a human guide.
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