Abstract
A highly accurate solution for the estimation of face poses over a wide range of 180 degree is presented. The result has been achieved by modeling the 3D arrangement of 15 facial features and its mapping to the image plane for different poses. A voting scheme is used to compute the mapping for a given image in a bottom-up procedure. The voting is based on a robust classification of the appearance of the sub-parts. However, equal importance must be ascribed to the extension of the annotation scheme of the Feret data base, also including the correction of existing misannotations.
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Wiedemeyer, T., Stommel, M., Herzog, O. (2011). Wide Range Face Pose Estimation by Modelling the 3D Arrangement of Robustly Detectable Sub-parts. In: Real, P., Diaz-Pernil, D., Molina-Abril, H., Berciano, A., Kropatsch, W. (eds) Computer Analysis of Images and Patterns. CAIP 2011. Lecture Notes in Computer Science, vol 6855. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23678-5_27
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DOI: https://doi.org/10.1007/978-3-642-23678-5_27
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