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. © 2010 Springer-Verlag.
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CITATION STYLE
Ceolin, S., & Hancock, E. R. (2010). Using the Fisher-Rao metric to compute facial similarity. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6111 LNCS, pp. 384–393). https://doi.org/10.1007/978-3-642-13772-3_39
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