Abstract
In this paper, we propose a new approach to determine the head pose which is a very important issue in several new applications. Our method consists of building a synthetic image database for a dense set of pose parameter values. This can be done with only one real image of the face using the Candide-3 model. To determine the pose, we compare each synthesized face image to the current image using an Hausdorff-like distance applied to gradient orientation features. Experimental results show the efficiency of our approach on real images. The improvement is also proved through a comparison with other technique presented in literature.
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Bailly, K., Milgram, M. (2008). Head Pose Determination Using Synthetic Images. In: Blanc-Talon, J., Bourennane, S., Philips, W., Popescu, D., Scheunders, P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2008. Lecture Notes in Computer Science, vol 5259. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88458-3_97
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DOI: https://doi.org/10.1007/978-3-540-88458-3_97
Publisher Name: Springer, Berlin, Heidelberg
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