AI-Based 360-degree Video Generation from Monocular Video for Immersive Experience

K. Asano, Ryota Suzuki, Yue Qiu, Y. Satoh
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Abstract

We propose an artificial intelligence (AI)-based framework for generating 360-degree videos from videos recorded by monocular cameras. We also show immersive virtual reality content generation using AI through an analysis of user experience that compares manually designed and AI-generated 360-degree videos based on the proposed framework. The production of 360-degree videos conventionally requires special equipment, such as omni-directional cameras. Our framework is applicable to a massive amount of existing camera and video, hence it increases the availability of 360-degree videos. We implemented our framework in two steps. First, we generate a three-dimensional point cloud from the input video. Then, we apply AI-based methods to interpolate the sparse point cloud based on geometric and semantic information. Our framework will be applicable to several usages such as assisting surveying past traffic accident videos and education on showing the historical townscape of 360 degrees, etc.
基于人工智能的360度视频生成,从单目视频到沉浸式体验
我们提出了一个基于人工智能(AI)的框架,用于从单目摄像机录制的视频生成360度视频。我们还展示了使用人工智能生成沉浸式虚拟现实内容,通过分析用户体验,比较基于提议框架的人工设计和人工智能生成的360度视频。制作360度的视频通常需要特殊的设备,比如全向摄像机。我们的框架适用于大量现有的相机和视频,因此它增加了360度视频的可用性。我们分两个步骤实现了框架。首先,我们从输入视频中生成三维点云。然后,应用基于人工智能的方法对稀疏点云进行几何信息和语义信息的插值。我们的框架将适用于多个用途,例如协助调查过往交通事故录像,以及360度展示历史城镇景观的教育等。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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