Title: Parametric stereo for multi-pose face recognition and 3D-face modeling
Authors: Fransens, Rik ×
Strecha, Christoph
Van Gool, Luc #
Issue Date: 2005
Publisher: Springer-verlag berlin
Series Title: Analysis and modelling of faces and gestures, proceedings vol:3723 pages:109-124
Abstract: 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, ranging from a frontal to a profile view. The face recognition results are very good, with 100% recognition on frontal views and 97% recognition on half-profile views.
Description: Lecture notes in computer science, vol. 3723, pp. 108-123, 2005 (Proceedings second international workshop on analysis and modelling of faces and gestures, AMFG-2005, October 16, 2005, Beijing, China)
ISSN: 0302-9743
Publication status: published
KU Leuven publication type: IT
Appears in Collections:ESAT - PSI, Processing Speech and Images
Electrical Engineering - miscellaneous
× corresponding author
# (joint) last author

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