增强基于单元的AR,为数字双胞胎资产提供最佳的无损压缩
Mohammed Hlayel1,2, Hairulnizam Mahdin2, Mohammad Hayajneh3
1Fatima College of Health Sciences, Institute of Applied Technology, Al-Ain, Abu Dhabi, UAE.
PloS one
|December 19, 2024
概括
这项研究通过评估无损压缩算法来优化移动扩展现实 (XR) 的数字双胞胎 (DT) 资产交付. LZ4和Fast LZ为实时AR应用提供了最佳的速度和资源效率.
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
- 增强现实是一种增强现实.
背景情况:
- 数字双胞胎 (DT) 技术在资源有限的移动设备中面临挑战,特别是在扩展现实 (XR) 应用中.
- 在XR中大量的3D模型资产导致了计算效率低下和移动平台上的糟糕用户体验.
- 优化资产交付对于在移动XR中高效地实施DT至关重要.
研究的目的:
- 为了提高移动XR应用的数字双胞胎资产交付效率.
- 评估各种无损压缩算法的对性能指标的影响.
- 为AR数字双胞胎选择最佳压缩方法提供指导.
主要方法:
- 将无损压缩算法 (LZ4,LZMA,Brotli,Fast LZ,7-Zip) 应用到Unity的AssetBundle和Addressable资产框架中.
- 评估了压缩方法对增强现实 (AR) 性能的影响.
- 开发数学模型来预测AR移动应用程序的资源利用率 (RAM,CPU时间).
主要成果:
- LZ4和Fast LZ表现出卓越的速度和资源效率,特别是RAM缓存.
- 7-Zip/LZMA实现了最高的压缩比,但加载时间较慢.
- 布罗特利证明了基于Web的AR/VR的有效性,平衡了压缩和解压缩速度,在WebGL中表现优于Gzip.
- 可定位资产系统与LZ4相结合,为实时AR提供了最佳的平衡.
结论:
- 选择最佳的压缩方法对于改善AR数字双胞胎的用户体验和可扩展性至关重要.
- 对于速度关键的AR应用,建议使用LZ4和Fast LZ.
- 布罗特利是基于网络的XR内容的强有力的选择.
- 使用LZ4的Addressable Asset系统为移动设备上高效的实时AR数字双胞胎提供了一个实用的解决方案.
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