Abstract
This paper examines the generation of a generic face model from a moderate sized database. Generic models of a human face have been used in a number of computer vision fields, including reconstruction, active appearance model fitting and face recognition. The model that is constructed in this paper is based upon the mean of the squared errors that are generated by comparing average faces that are calculated from two independent and random samplings of a database of 3D range images. This information is used to determine the average amount of error that is present at given height locations along the generic face based on the number of samples that are considered. These results are then used to sub-region the generic face into areas where the greatest variations occur in the generic face models.
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Mamic, G., Fookes, C., Sridharan, S. (2006). What Is the Average Human Face?. In: Chang, LW., Lie, WN. (eds) Advances in Image and Video Technology. PSIVT 2006. Lecture Notes in Computer Science, vol 4319. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11949534_69
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DOI: https://doi.org/10.1007/11949534_69
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-68297-4
Online ISBN: 978-3-540-68298-1
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