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» Statistical appearance models for automatic pose invariant f...
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ICIP
2002
IEEE
14 years 6 months ago
Face recognition using mixtures of principal components
We introduce an efficient statistical modeling technique called Mixture of Principal Components (MPC). This model is a linear extension to the traditional Principal Component Anal...
Deepak S. Turaga, Tsuhan Chen
CVPR
2009
IEEE
15 years 12 days ago
Learning Based Automatic Face Annotation for Arbitrary Poses and Expressions from Frontal Images Only
Statistical approaches for building non-rigid deformable models, such as the Active Appearance Model (AAM), have enjoyed great popularity in recent years, but typically require ...
Akshay Asthana (Australian National University), R...
CVPR
2006
IEEE
13 years 11 months ago
A Generalized EM Approach for 3D Model Based Face Recognition under Occlusions
This paper describes an algorithm for pose and illumination invariant face recognition from a single image under occlusions. The method iteratively estimates the parameters of a 3...
Michael De Smet, Rik Fransens, Luc J. Van Gool
FGR
2008
IEEE
164views Biometrics» more  FGR 2008»
13 years 7 months ago
Colour invariants for machine face recognition
Illumination invariance remains the most researched, yet the most challenging aspect of automatic face recognition. In this paper we investigate the discriminative power of colour...
Ognjen Arandjelovic, Roberto Cipolla
FGR
2006
IEEE
171views Biometrics» more  FGR 2006»
13 years 11 months ago
Automatic Feature Extraction for Multiview 3D Face Recognition
Current 2D face recognition systems encounter difficulties in recognizing faces with large pose variations. Utilizing the pose-invariant features of 3D face data has the potentia...
Xiaoguang Lu, Anil K. Jain