VR immersive social user interaction under metaverse

Yixiao Zhu; Xin Wang; XiangWei Qi

doi:10.1117/12.2674842

2 May 2023 VR immersive social user interaction under metaverse

Yixiao Zhu, Xin Wang, XiangWei Qi

Proceedings Volume 12642, Second International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2023); 1264235 (2023) https://doi.org/10.1117/12.2674842
Event: Second International Conference on Electronic Information Engineering, Big Data and Computer Technology (EIBDCT 2023), 2023, Xishuangbanna, China

Abstract

With the development of computer technology, virtual reality has gradually penetrated and changed every industrial field. The final form of Metaverse must be decentralized, and the current network ecology cannot fully meet the needs of Metaverse's decentralization. Some people believe that the coming Web 3.0 era is inseparable from the Web ecology required by the meta circle. Web 3.0 could be an important step towards a metaverse world. Different from traditional online interaction methods, pictures and videos are mainly used, which does not affect the actual production. There is no clear understanding of the overall layout of the screen, and the interaction efficiency is low. Considering the above shortcomings, this paper adopts the octree scene division method and the LOD (Levels of Detail) model technology to save storage space, speed up the rendering speed, and achieve fast rendering of virtual scenes. Introduce artificial intelligence into collision detection of 3D models, create OBB (Oriented Bounding Box) bounding boxes of model objects, and use particle swarm search algorithm to quickly find pairs of collision objects to improve collision detection efficiency. Experimental results show that a more stable average search length is realized and provides better node balance. At the same time, the multi-level detail technology LOD corresponding to the structure of the eight tree is designed to simplify the fine representation of objects in the scene layer by layer, to reduce the time of scene rendering, reduce the complexity of time and space, and improve the visualization speed.

Citation Download Citation

Yixiao Zhu, Xin Wang, and XiangWei Qi "VR immersive social user interaction under metaverse", Proc. SPIE 12642, Second International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2023), 1264235 (2 May 2023); https://doi.org/10.1117/12.2674842

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KEYWORDS

Virtual reality

Particles

3D modeling

Particle swarm optimization

Cameras

Design and modelling

Detection and tracking algorithms

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