5G环境下图书馆多场景VR服务模式研究

Jinping Xu, Wenqing Song
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引用次数: 0

摘要

为了实现图书馆多场景VR服务模式的视觉重构和特征提取,需要5G环境下的图书馆多场景三维重构和服务模式识别。提出了一种基于虚拟现实虚拟现实视觉特征分析和服务模式仿真的图书馆多场景虚拟现实业务重构技术。首先,采用RFID射频标签识别技术采集5G环境下图书馆服务可靠性区域图像,并采用VR视觉信息仿真技术对采集图像进行增强。然后,利用VR技术对图像边缘的轮廓和纹理进行跟踪渲染,实现图书馆多个场景中VR服务模式的视觉特征重建、服务模式识别和三维场景重建。最后,进行了实际图书馆多场景虚拟现实业务重构仿真实验。结果表明,该方法可以实现5G环境下图书馆多场景特征的完整性检测,且输出图像质量高。改进了5G环境下图书馆多场景VR服务模式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Study on Multi-Scene VR Service Mode of Library in 5G Environment
In order to realize the visual reconstruction and feature extraction of library multi-scene VR service mode, the library multi-scene 3D reconstruction and service mode recognition under 5G environment are required. A library multi-scene VR service reconstruction technology based on virtual reality VR visual feature analysis and service mode simulation is proposed. Firstly, RFID radio frequency tag identification technology is used to collect images of service reliability areas of libraries in 5G environment, and VR visual information simulation technology is used to enhance the collected images. Then, VR technology is used to track and render the contour and texture of the image edge to realize the visual feature reconstruction, service pattern recognition and three-dimensional scene reconstruction of VR service patterns in multiple scenes of the library. Finally, an actual library multi-scene VR service reconstruction simulation experiment is carried out. The results show that the method can realize the integrity detection of library multi-scene features in 5G environment, and the output image quality is high. The library multi-scene VR service mode in 5G environment is improved.
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