Title :
Estimating gaze from a single view of a face
Author :
Gee, Andrew ; Cipolla, Roberto
Author_Institution :
Dept. of Eng., Cambridge Univ., UK
Abstract :
Current approaches to gaze tracking tend to be highly intrusive: the subject must either remain perfectly still, or wear cumbersome headgear to maintain a constant separation between the sensor and the eye. This paper describes a more flexible vision-based approach, which can estimate the direction of gaze from a single, monocular view of a face. The technique makes minimal assumptions about the structure of the face, requires very few image measurements, and produces a useful estimate of the facial orientation. The computational requirements are insignificant, so with automatic tracking of a few facial features it is possible to produce real-time gaze estimates
Keywords :
tracking; automatic tracking; facial orientation; gaze tracking; real-time gaze estimates; vision-based approach; Calibration; Current measurement; Eyes; Facial features; Head; Maintenance engineering; Nose; Optical reflection; Retina; Wearable sensors;
Conference_Titel :
Pattern Recognition, 1994. Vol. 1 - Conference A: Computer Vision & Image Processing., Proceedings of the 12th IAPR International Conference on
Conference_Location :
Jerusalem
Print_ISBN :
0-8186-6265-4
DOI :
10.1109/ICPR.1994.576433