DocumentCode
3249007
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
fYear
1999
fDate
1999
Firstpage
70
Lastpage
76
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/RATFG.1999.799226
Filename
799226
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