动态点云的视觉突出性比较:无任务与依赖任务的比较
IEEE transactions on visualization and computer graphics
|March 11, 2025
概括
一个新的Task-Free眼睛跟踪数据集 (TF-DPC) 揭示了任务如何影响虚拟现实中的动态点云中的视觉注意力. 特定任务的目标显著改变了人们看的方向,影响了视觉突出模型.
科学领域:
- 计算机视觉 计算机视觉
- 人与计算机的交互
- 虚拟现实 虚拟现实 虚拟现实
背景情况:
- 了解人类视觉注意力对于有效的人机交互至关重要.
- 虚拟现实中的动态点云为视觉注意力研究带来了独特的挑战.
- 现有的数据集往往缺乏无任务条件,限制了对任务依赖注意力的研究.
研究的目的:
- 介绍动态点云 (TF-DPC) 的无任务眼睛跟踪数据集.
- 在VR中调查高级任务对人类视觉注意力的影响.
- 从无任务和任务依赖的实验中比较视觉突出性地图.
主要方法:
- 收集了24名参与者在VR环境中的眼睛凝视和头部运动数据.
- 参与者观察了19个扫描的动态点云,自由度为6度.
- 利用皮尔森相关性和适应的地球移动器距离来比较突出地图.
主要成果:
- 定性和定量分析显示,基于任务影响,视觉注意力存在显著差异.
- 视觉突出性地图主要在无任务和任务依赖条件之间存在显著差异.
- 视线和运动轨迹为动态点云,特别是人形的注意力提供了洞察力.
结论:
- 高级任务在VR中的动态点云观测中显著影响视觉注意力.
- TF-DPC数据集为研究任务依赖的视觉注意力提供了有价值的数据.
- 结果指导了改进的视觉突出模型和VR感知系统的开发.
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