Abstract
In this paper we show how the Fisher-Rao metric can be used to compute the similarity of fields of surface normals, under the assumption of a von-Mises Fisher (vMF) distribution. We use the similarity measure to analyse differences in facial shape due to gender and expression. Finally, we show the results achieved using BU-3DFEDB and Max Planck datasets.
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Ceolin, S., Hancock, E.R. (2010). Using the Fisher-Rao Metric to Compute Facial Similarity. In: Campilho, A., Kamel, M. (eds) Image Analysis and Recognition. ICIAR 2010. Lecture Notes in Computer Science, vol 6111. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13772-3_39
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DOI: https://doi.org/10.1007/978-3-642-13772-3_39
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-13771-6
Online ISBN: 978-3-642-13772-3
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