AI RESEARCH

Deployment-Oriented Session-wise Meta-Calibration for Landmark-Based Webcam Gaze Tracking

arXiv CS.CV

ArXi:2603.12388v1 Announce Type: new Practical webcam gaze tracking is constrained not only by error, but also by calibration burden, robustness to head motion and session drift, runtime footprint, and browser use. We therefore target a deployment-oriented operating point rather than the image large-backbone regime. We cast landmark-based point-of-regard estimation as session-wise adaptation: a shared geometric encoder produces embeddings that can be aligned to a new session from a small calibration set.