3D Data Processing Visualization and Transmission, International Symposium on (2006)
University of North Carolina, Chapel Hill, USA
June 14, 2006 to June 16, 2006
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/3DPVT.2006.66
Erik Pogalin , Delft University of Technology, The Netherlands
Andre Redert , Delft University of Technology, The Netherlands; Phililps Research Laboratories, The Netherlands
Ioannis Patras , The University of York, UK
Emile A. Hendriks , Delft University of Technology, The Netherlands
This paper describes a non-intrusive method to estimate the gaze direction of a person by using stereo cameras. First, facial features are tracked with an adapted particle filtering algorithm using factorized likelihoods to estimate the 3D head pose. Next the 3D gaze vector is calculated by estimating the eyeball center and the cornea center of both eyes. For the intended application of visual perception research, we also propose a new screen registration scheme to accurately locate a planar screen in world coordinates within 2 mm error. We combine the 3D screen location with the 3D gaze vectors from both eyes to establish a point of focus on the screen. The experimental results indicate that an average error of the gaze direction of about 4.6deg can be achieved and an average error of about 4 mm for the focus point location at a viewing distance of 50 cm.
face recognition, feature extraction, motion estimation, particle filtering (numerical methods), stereo image processing
E. Pogalin, A. Redert, I. Patras and E. A. Hendriks, "Gaze Tracking by Using Factorized Likelihoods Particle Filtering and Stereo Vision," 3D Data Processing Visualization and Transmission, International Symposium on(3DPVT), University of North Carolina, Chapel Hill, USA, 2008, pp. 57-64.