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Real-time 3D head pose estimation using both geometry and learning | IEEE Conference Publication | IEEE Xplore

Real-time 3D head pose estimation using both geometry and learning


Abstract:

In this paper we propose a very efficient and low-cost method for real-time 3D object pose estimation, suitable for operation under severe changes in the illumination con...Show More

Abstract:

In this paper we propose a very efficient and low-cost method for real-time 3D object pose estimation, suitable for operation under severe changes in the illumination conditions. The method consists of a geometry-based and learning-based stage: first a geometry-based pose estimation algorithm is used to obtain pose parameter values, which are utilized as supervised information during a following learning-based stage. The efficacy of the proposed approach is illustrated on a real-world application in a head pose based facial-gesture interface for automatic wheelchair navigation.
Date of Conference: 26-29 September 2010
Date Added to IEEE Xplore: 03 December 2010
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ISSN Information:

Conference Location: Hong Kong, China

References

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