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2005
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Parametric Stereo for Multi-pose Face Recognition and 3D-Face Modeling

9 years 3 months ago
Parametric Stereo for Multi-pose Face Recognition and 3D-Face Modeling
This paper presents a new method for face modeling and face recognition from a pair of calibrated stereo cameras. In a first step, the algorithm builds a stereo reconstruction of the face by adjusting the global transformation parameters and the shape parameters of a 3D morphable face model. The adjustment of the parameters is such that stereo correspondence between both images is established, i.e. such that the 3D-vertices of the model project on similarly colored pixels in both images. In a second step, the texture information is extracted from the image pair and represented in the texture space of the morphable face model. The resulting shape and texture coefficients form a person specific feature vector and face recognition is performed by comparing query vectors with stored vectors. To validate our algorithm, an extensive image database was built. It consists of stereo-pairs of 70 subjects. For recognition testing, the subjects were recorded under 6 different head directions, ...
Rik Fransens, Christoph Strecha, Luc J. Van Gool
Added 24 Jun 2010
Updated 24 Jun 2010
Type Conference
Year 2005
Where AMFG
Authors Rik Fransens, Christoph Strecha, Luc J. Van Gool
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