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Head pose estimation using Gabor eigenspace modeling

9 years 4 months ago
Head pose estimation using Gabor eigenspace modeling
In this paper, an approach towards head pose estimation is introduced based on Gabor eigenspace modeling. Gabor filter is used to enhance pose information and eliminate other distractive information like variable face appearance or changing environmental illumination. We discuss the selection of optimal Gabor filter’s orientation to each pose, which leads to more compact pose clustering. Then we use a distributionbased pose model (DBPM) to model each pose cluster in Gabor eigenspace. Thus to each pose cluster, a 2Ddistance space is established where the distance from centroid (DFC) could be used to estimate head pose. Experimental results demonstrate the algorithm’s robustness and generalization. We also try our algorithm on real scene sequences to detect human face and estimate its pose. In this way, user can control an intelligent wheelchair just by his head poses.
Yucheng Wei, Ludovic Fradet, Tieniu Tan
Added 14 Jul 2010
Updated 14 Jul 2010
Type Conference
Year 2002
Where ICIP
Authors Yucheng Wei, Ludovic Fradet, Tieniu Tan
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