AI RESEARCH

Low Latency Gaze Tracking via Latent Optical Sensing

arXiv CS.CV

ArXi:2605.17990v1 Announce Type: new We present a real-time gaze tracking system that directly acquires task-relevant latent features using a fully passive optical encoder. Instead of forming and processing full-resolution images, our approach leverages a microlens array with a co-designed binary chromium mask to perform spatially multiplexed optical encoding, producing a compact set of measurements sufficient for gaze estimation.