Using the fisher-rao metric to compute facial similarity

Authors:
Simone Ceolin;Edwin R. Hancock
Affiliations:
Computer Vision and Pattern Recognition Group, Department of Computer Science, University of York, York, UK;Computer Vision and Pattern Recognition Group, Department of Computer Science, University of York, York, UK
Venue:
ICIAR'10 Proceedings of the 7th international conference on Image Analysis and Recognition - Volume Part I
Year:
2010

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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.