撤销通知:iMetaTown:一个基于虚拟现实的多个交互功能的元宇宙系统,基于虚拟现实.
IEEE transactions on visualization and computer graphics
|March 3, 2025
概括
本研究介绍了一个虚拟现实 (VR) 人与计算机交互 (HCI) 系统,用于Metaverse. 它使用2D自主监督学习 (2DASL) 来进行3D面部重建,增强现实的用户交互.
科学领域:
- 计算机科学 计算机科学
- 虚拟现实 虚拟现实 虚拟现实
- 人与计算机的交互
背景情况:
- 超级宇宙需要先进的人机交互 (HCI) 来实现沉浸式体验.
- 现实的3D面部重建对于自然的玩家-玩家互动至关重要.
- 现有的方法经常在实时处理和高质量的3D对齐方面扎.
研究的目的:
- 使用虚拟现实 (VR) 开发一个实时,沉浸式的Metaverse HCI系统.
- 通过一种新的3D面部重建方法来增强玩家与玩家的互动.
- 用2D图像优化3D模型学习和面部对齐.
主要方法:
- 实施了基于弱监督学习的3D面部重建方法.
- 利用2D自主监督学习 (2DASL) 方法与2D面部图像用于3D模型优化.
- 用户互动 (拥抱,握手) 和基于区块链的通信 (语音,文本) 的集成功能模块.
- 开发解决方案来管理多个同时在线用户.
主要成果:
- 2DASL面部重建方法显著改善了3D面部对齐质量.
- 该系统在个人电脑上实现了高达每秒18的实时处理速度.
- 用户反显示了社会接受,互动可用性,情感表达和整体满意度的高分.
- 在3D重建和交互场景中,VR HCI系统表现出强大的性能.
结论:
- 开发的VR HCI系统通过优化的3D面部重建有效地增强了Metaverse交互.
- 2DASL方法为改进2D图像的3D面部建模提供了可行的解决方案.
- 该系统满足实时处理需求和用户对沉浸式虚拟环境的期望.
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