Gaze detection via self-organizing gray-scale units
Margrit Betke, Junya Kawai · 2003
We present a gaze estimation algorithm that detects an eye in a face image and estimates the gaze direction by computing the position of the pupil with respect to the center of the eye. The algorithm is information conserving and based on unsupervised learning. It creates a map of self-organized gray-scale image units that collectively learn to describe the eye outline.