Simone Ceolin

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—The aim in this paper is to explore whether the Fisher-Rao metric can be used to characterise the shape changes due to gender difference. We work using a 2.5D representation based on facial surface normals (or facial needle-maps) for gender classification. The needle-map is a shape representation which can be acquired from 2D intensity images using(More)
The aim in this paper is to explore whether the Fisher-Rao metric can be used to measure different facets of facial shape estimated from fields of surface normals using the von-Mises Fisher distribution. In particular we aim to characterise the shape changes due to differences in gender. We make use of the von-Mises Fisher distribution since we are dealing(More)
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