Fitting 3d cartesian models to faces using irradiance and integrability constraints

Authors:
Mario Castelán;Edwin R. Hancock
Affiliations:
Dept. of Computer Science, University of York, York, UK;Dept. of Computer Science, University of York, York, UK
Venue:
ICIAP'05 Proceedings of the 13th international conference on Image Analysis and Processing
Year:
2005

Citing 4
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Statistical approach to shape from shading: Reconstruction of three-dimensional face surfaces from single two-dimensional images

Neural Computation

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Abstract

This paper makes two contributions. First, we present an experimental analysis of three different ways of constructing three-dimensional statistical models of faces using Cartesian coordinates, namely, height, surface gradient and one based on Fourier domain basis functions. Second, we test the ability of each of the models for dealing with information provided by shape-from-shading by introducing a simple non-exhaustive parameter adjustment procedure subject to integrability and irradiance constraints. Experiments show that the surface gradient based representation is more robust to noise than the alternative Cartesian representations.