David Dunn

NVGaze: An Anatomically-Informed Dataset for Low-Latency, Near-Eye Gaze Estimation

Quality, diversity, and size of training data are critical factors for learning-based gaze estimators. We create two datasets satisfying these criteria for near-eye gaze estimation under infrared illumination: a synthetic dataset using anatomically-informed eye and face models with variations in face shape, gaze direc…