PulseAugur
EN
LIVE 08:56:06

New dataset tackles pupil segmentation for outdoor eye-tracking

By PulseAugur Editorial · [2 sources] ·

Researchers have introduced AmbientEye, a new dataset designed to advance pupil segmentation for eye-tracking in smart glasses. This dataset focuses on using passive infrared cameras under natural sunlight, avoiding the power consumption issues of active IR illumination. AmbientEye comprises over 2.6 million eye images from 35 participants, highlighting a significant performance drop for current segmentation algorithms in unconstrained outdoor settings. AI

IMPACT Enables development of more practical eye-tracking for AR/VR without active IR, potentially improving user interfaces and attention analysis.

RANK_REASON The cluster contains an academic paper introducing a new dataset and benchmark for a specific computer vision task.

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

COVERAGE [2]

  1. arXiv cs.CV TIER_1 English(EN) · Mingyu Han, Hyunyoung Han, Nitheekulawatn Thommakoon, Gangtae Park, Jieun Han, Xucong Zhang, Ian Oakley ·

    AmbientEye: A Dataset for Pupil Segmentation under Natural Ambient Infrared Illumination

    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…

  2. arXiv cs.CV TIER_1 English(EN) · Ian Oakley ·

    AmbientEye: A Dataset for Pupil Segmentation under Natural Ambient Infrared Illumination

    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…

RELATED ENTITIES

RELATED TOPICS