Title :
Gaze detection via self-organizing gray-scale units
Author :
Betke, Margrit ; Kawai, Jun
Author_Institution :
Dept. of Comput. Sci., Boston Coll., Chestnut Hill, MA, USA
Abstract :
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
Keywords :
computer vision; eye; object detection; self-organising feature maps; unsupervised learning; user interfaces; eye detection; face image; gaze detection; gaze direction estimation; gaze estimation algorithm; self-organizing gray-scale units; unsupervised learning; Gray-scale; Phase estimation;
Conference_Titel :
Recognition, Analysis, and Tracking of Faces and Gestures in Real-Time Systems, 1999. Proceedings. International Workshop on
Conference_Location :
Corfu
Print_ISBN :
0-7695-0378-0
DOI :
10.1109/RATFG.1999.799226
