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Real-Time Head Pose Estimation using Reconstructed 3D Face Data from Stereo Image Pair

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2 Author(s)
Gurbuz, S. ; NICT Cognitive Inf. Sci. Lab., Japan ; Inoue, N.

In this paper, we describe a real-time 3D human head pose estimation algorithm by means of eye tracking and on-line reconstructed 3D face data from a stereo image pair. A frame by frame based face coordinate system is formed using eye locations and a face plane which doesn't rely on distinctive facial features. The rest of the algorithm follows the conventional approach of pose estimation between the face coordinate system and a reference coordinate system without any initialization and model fitting. By not relying on arbitrary data on the face such as nose ridge line or a mouth corner points, we minimize the impact of errors which may come from their 3D estimates and facial expression changes. Experimental results demonstrate the accuracy and robustness of the algorithm.

Published in:

Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on  (Volume:2 )

Date of Conference:

15-20 April 2007