Abstract
We present an experimental analysis of four different ways of constructing three-dimensional statistical models of faces using Cartesian coordinates, namely: height, surface gradient, azimuthal angle and one based on Fourier domain basis functions. We test the ability of each of the models for dealing with information provided by shape-from-shading. Experiments show that representations based on directional information are more robust to noise than representations based on height information. Moreover, the method can be operated using a simple non-exhaustive parameter adjustment procedure and ensures that the recovered surface satisfies the image irradiance equation as a hard constraint subject to integrability conditions.
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Castelán, M., Hancock, E.R. (2006). Using Cartesian Models of Faces with a Data-Driven and Integrable Fitting Framework. In: Campilho, A., Kamel, M. (eds) Image Analysis and Recognition. ICIAR 2006. Lecture Notes in Computer Science, vol 4142. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11867661_13
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DOI: https://doi.org/10.1007/11867661_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-44894-5
Online ISBN: 978-3-540-44896-9
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