@InProceedings{CeolinHanc:2012:CoGeDi,
author = "Ceolin, Simone Regina and Hancock, Edwin R.",
affiliation = "{Centro Universit{\'a}rio Franciscano} and {University of York}",
title = "Computing gender difference using Fisher-Rao metric from facial
surface normals",
booktitle = "Proceedings...",
year = "2012",
editor = "Freitas, Carla Maria Dal Sasso and Sarkar, Sudeep and Scopigno,
Roberto and Silva, Luciano",
organization = "Conference on Graphics, Patterns and Images, 25. (SIBGRAPI)",
publisher = "IEEE Computer Society",
address = "Los Alamitos",
keywords = "Fisher-Rao metric, surface normal, shape-from-shading.",
abstract = "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 shape-from-shading (SFS). Using the
von-Mises Fisher distribution, we compute the elements of the
Fisher information matrix, and use this to compute geodesic
distance between fields of surface normals to construct a
shape-space. We embed the fields of facial surface normals into a
low dimensional pattern space using a number of alternative
methods including multidimensional scaling, heat kernel embedding
and commute time embedding. We present results on clustering the
embedded faces using the Max Planck and EAR database.",
conference-location = "Ouro Preto",
conference-year = "Aug. 22-25, 2012",
language = "en",
targetfile = "paper_sibgrapi_2012.pdf",
urlaccessdate = "2021, Jan. 24"
}