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ICB
2009
Springer
173views Biometrics» more  ICB 2009»
13 years 5 months ago
Bayesian Networks to Combine Intensity and Color Information in Face Recognition
We present generative models dedicated to face recognition. Our models consider data extracted from color face images and use Bayesian Networks to model relationships between diffe...
Guillaume Heusch, Sébastien Marcel
ICCV
2007
IEEE
14 years 9 months ago
Fitting a Morphable Model to 3D Scans of Faces
This paper presents a top-down approach to 3D data analysis by fitting a Morphable Model to scans of faces. In a unified framework, the algorithm optimizes shape, texture, pose an...
Volker Blanz, Kristina Scherbaum, Hans-Peter Seide...
ECCV
2006
Springer
14 years 9 months ago
Robust Expression-Invariant Face Recognition from Partially Missing Data
Abstract. Recent studies on three-dimensional face recognition proposed to model facial expressions as isometries of the facial surface. Based on this model, expression-invariant s...
Alexander M. Bronstein, Michael M. Bronstein, Ron ...
FGR
2000
IEEE
157views Biometrics» more  FGR 2000»
14 years 2 days ago
Hand Gesture Recognition Using Input-Output Hidden Markov Models
A new hand gesture recognition method based on Input– Output Hidden Markov Models is presented. This method deals with the dynamic aspects of gestures. Gestures are extracted fr...
Sébastien Marcel, Olivier Bernier, Jean-Emm...
CVPR
2008
IEEE
14 years 9 months ago
Learning patch correspondences for improved viewpoint invariant face recognition
Variation due to viewpoint is one of the key challenges that stand in the way of a complete solution to the face recognition problem. It is easy to note that local regions of the ...
Ahmed Bilal Ashraf, Simon Lucey, Tsuhan Chen