Using Cartesian Models of Faces with a Data-Driven and Integrable Fitting Framework

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 deali...

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Published inImage Analysis and Recognition pp. 134 - 145
Main Authors Castelán, Mario, Hancock, Edwin R.
Format Book Chapter
LanguageEnglish
Published Berlin, Heidelberg Springer Berlin Heidelberg 2006
SeriesLecture Notes in Computer Science
Subjects
Azimuth Angle
Fourier Basis
Fourier Domain
Hard Constraint
Surface Gradient
Online AccessGet full text
ISBN3540448942
9783540448945
ISSN0302-9743
1611-3349
DOI10.1007/11867661_13

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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.
AbstractList 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.
Author Hancock, Edwin R.
Castelán, Mario
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Editor Campilho, Aurélio
Kamel, Mohamed
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Snippet We present an experimental analysis of four different ways of constructing three-dimensional statistical models of faces using Cartesian coordinates, namely:...
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StartPage 134
SubjectTerms Azimuth Angle
Fourier Basis
Fourier Domain
Hard Constraint
Surface Gradient
Title Using Cartesian Models of Faces with a Data-Driven and Integrable Fitting Framework
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