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使用角膜成像进行无校准移动眼睛跟踪.

Moayad Mokatren1, Tsvi Kuflik1, Ilan Shimshoni1

  • 1The Department of Information Systems, University of Haifa, Haifa 3498838, Israel.

Sensors (Basel, Switzerland)
|February 24, 2024
PubMed
概括

这项研究引入了一种新的,无校准的移动眼睛追踪系统. 它以最小的用户交互实现了准确的目光估计,为真实世界的应用提供了无的体验.

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科学领域:

  • 计算机视觉 计算机视觉
  • 人与计算机的交互
  • 生物医学工程 生物医学工程

背景情况:

  • 传统的眼球追踪系统通常需要繁的校准程序.
  • 移动眼睛跟踪需要不引人注目的和持续的目光估计.
  • 准确的凝视跟踪对于各种应用程序至关重要,包括增强现实和用户行为分析.

研究的目的:

  • 介绍和评估一种新的移动眼睛追踪系统,可以消除手动校准的需要.
  • 在现实世界,动态环境中实现连续和可靠的目光估计.
  • 在没有用户干预的情况下,实现与最先进的方法相提并论的高精度.

主要方法:

  • 一个集成三个摄像头的移动设备:IR眼镜摄像头,RGB眼镜摄像头和前景RGB摄像头.
  • 开发一个角膜成像系统,以进行可靠的目光估计.
  • 实现深度学习算法和3D几何计算,用于自动每用户系统校准.
  • 通过匹配角膜和现场图像来自动计算点对点转换.

主要成果:

  • 系统成功自动校准,允许用户立即开始跟踪.
  • 在室内和室外现实生活场景中展示了可靠的目光点估计.
  • 在室内达到1.6°,在室外达到1.69°的平均视线误差.
  • 性能与现有的最先进的眼睛追踪解决方案相竞争.

结论:

  • 开发的无校准移动眼睛跟踪系统在可用性和可访问性方面取得了重大进展.
  • 该系统提供准确可靠的目光估计,适合各种现实应用.
  • 这种方法为通过无眼睛跟踪技术实现更自然,更直观的人与计算机交互铺平了道路.
关键词:
自动校准自动校准.角膜成像检查 角膜成像检查眼睛跟踪 眼睛跟踪

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