虚拟体验工具包:一个端到端自动化的3D场景虚拟化框架,实现计算机视觉技术
Pau Mora1, Clara Garcia1, Eugenio Ivorra1
1Research in Human-Centred Technology University Research Institute, Universitat Politècnica de València, 46022 Valencia, Spain.
Sensors (Basel, Switzerland)
|June 27, 2024
概括
虚拟体验工具包 (VET) 自动创建交互式3D室内虚拟现实场景. 这个框架使用先进的计算机视觉和深度学习来实现高效准确的虚拟化,增强用户体验.
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
- 计算机视觉 计算机视觉
背景情况:
- 虚拟现实 (VR) 通过现实主义和沉浸在室内环境中增强了用户体验.
- 传统的虚拟内容创建方法是劳动密集型的,或者缺乏统一的框架来进行3D重建和场景理解.
- 现有的计算机视觉 (CV) 和深度学习 (DL) 解决方案通常会产生复杂的,半自动的结果,缺乏交互式表示.
研究的目的:
- 引入一个自动化和用户友好的框架,虚拟体验工具包 (VET).
- 解决当前3D重建和场景理解的局限性,以虚拟化室内环境.
- 为了能够高效准确地创建完全交互和可定制的3D虚拟场景.
主要方法:
- 利用DL和先进的CV技术实现现实室内场景的自动虚拟化.
- 雇佣了ScanNotate,这是一个增强的检索和对齐工具,具有自动预处理和CAD预选择.
- 在一个用户友好的,全自动的Unity3D应用程序中实现,通过管道指导用户.
主要成果:
- 成功实现了各种3D室内场景的虚拟化,补充了ScanNet数据集.
- 实现高效准确的3D重建和场景理解.
- 从现实环境中生成完全交互和可定制的3D场景.
结论:
- 职业教育提供了一种有效的自动化解决方案,用于创建高保真,交互式虚拟室内环境.
- 该工具包简化了虚拟化过程,克服了手动和传统CV/DL方法的局限性.
- 职业教育显著提高了室内环境中个性化和沉浸式VR体验的潜力.
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