研究人员推出 AmbientEye，这是一个旨在推进智能眼镜中眼动追踪的瞳孔分割新数据集。该数据集侧重于在自然阳光下使用被动红外摄像头，避免了主动红外照明的功耗问题。AmbientEye 包含来自 35 名参与者的超过 260 万张眼部图像，突显了当前分割算法在不受限制的户外环境中性能的显著下降。 AI
影响 使得无需主动红外即可开发更实用的 AR/VR 眼动追踪，可能改进用户界面和注意力分析。
排序理由 该集群包含一篇介绍特定计算机视觉任务新数据集和基准的学术论文。
AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →
arXiv:2606.03774v1 Announce Type: new Abstract: Eye tracking is essential for smart glasses, as it provides insight into user attention for ambient intelligence applications. However, most existing eye-tracking systems rely on active infrared (IR) illumination, creating practical…
Eye tracking is essential for smart glasses, as it provides insight into user attention for ambient intelligence applications. However, most existing eye-tracking systems rely on active infrared (IR) illumination, creating practical barriers to all-day outdoor use due to power co…