Title :
Remote point-of-gaze estimation with single-point personal calibration based on the pupil boundary and corneal reflections
Author :
Guestrin, E.D. ; Eizenman, M.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Toronto, Toronto, ON, Canada
Abstract :
This paper describes a new method for remote, non-contact point-of-gaze (PoG) estimation that tolerates head movements and requires a simple personal calibration procedure in which the subject has to fixate a single calibration point. This method uses the pupil boundary and at least two corneal reflections (virtual images of light sources) that are extracted from eye images captured by at least two video cameras. Experimental results obtained with a prototype system exhibited RMS PoG estimation errors of approx. 0.4-0.6° of visual angle. Such accuracy is comparable to that of the best commercially available systems, which use multiple-point personal calibration procedures, and significantly better than that of any other systems that use a single-point personal calibration procedure and have been previously described in the literature.
Keywords :
feature extraction; iris recognition; light reflection; light sources; mean square error methods; video cameras; RMS PoG estimation errors; corneal reflection; eye images; head movements; light source; prototype system; pupil boundary; remote noncontact point of gaze estimation; single point personal calibration; video cameras; virtual images; visual angle; Calibration; Cameras; Cornea; Estimation; Light sources; Reflection; Visualization; Point-of-gaze; corneal reflections; pupil boundary; remote gaze estimation; single-point personal calibration;
Conference_Titel :
Electrical and Computer Engineering (CCECE), 2011 24th Canadian Conference on
Conference_Location :
Niagara Falls, ON
Print_ISBN :
978-1-4244-9788-1
Electronic_ISBN :
0840-7789
DOI :
10.1109/CCECE.2011.6030604