为事件相机眼动追踪提供200Hz高精度瞳孔标注数据
High-frequency near-eye ground truth for event-based eye tracking
- 设计半自动标注流程适配事件数据特性
- 发布200Hz高频瞳孔检测标注，提升算法训练精度
- 填补事件相机眼动数据集空白，适合低功耗设备研究
事件相机眼动追踪是智能眼镜中高效低功耗眼动追踪的有前景方案。然而，事件传感器的创新性导致可用数据集有限，尤其是带眼级标注的数据，这对算法验证和深度学习训练至关重要。本文通过改进一个流行事件相机眼动追踪数据集，提出专门针对事件数据的半自动标注流程。此外，向科研界提供在200Hz频率下计算出的瞳孔检测标注结果。
原文摘要 · Abstract (English)
Event-based eye tracking is a promising solution for efficient and low-power eye tracking in smart eyewear technologies. However, the novelty of event-based sensors has resulted in a limited number of available datasets, particularly those with eye-level annotations, crucial for algorithm validation and deep-learning training. This paper addresses this gap by presenting an improved version of a popular event-based eye-tracking dataset. We introduce a semi-automatic annotation pipeline specifically designed for event-based data annotation. Additionally, we provide the scientific community with the computed annotations for pupil detection at 200Hz.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。