DETERMINING THE GAZE OF FACES IN IMAGES
Andrew Gee and Roberto Cipolla
A person's gaze is a potentially powerful input device for human-computer interaction. 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 an accurate estimate of the facial orientation, which is relatively insensitive to noise in the image and errors in the underlying assumptions. The computational requirements are insignificant, so with automatic tracking of a few facial features it is possible to produce gaze estimates at video rate.
Keywords: Gaze tracking, human-computer interaction, weak perspective, symmetry, real-time feature tracking.
[2.2 MBytes compressed PostScript, 21 pages]
If you have difficulty viewing files that end
which are gzip compressed, then you may be able to find
tools to uncompress them at the gzip
If you have difficulty viewing files that are in PostScript, (ending
'.ps.gz'), then you may be able to
find tools to view them at
We have attempted to provide automatically generated PDF copies of documents for which only PostScript versions have previously been available. These are clearly marked in the database - due to the nature of the automatic conversion process, they are likely to be badly aliased when viewed at default resolution on screen by acroread.