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77
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ICIP
2002
IEEE
16 years 2 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
ICIP
2009
IEEE
16 years 1 months ago
Using Sparse Regression To Learn Effective Projections For Face Recognition
We explore sparse regression for effective feature selection and classification in face identity and expression recognition. We argue that sparse regression in pixel space is inap...
83
Voted
AVBPA
1997
Springer
90views Biometrics» more  AVBPA 1997»
15 years 4 months ago
Face Detection by Direct Convexity Estimation
We suggest a novel attentional mechanism for detection of smooth convex and concave objects based on direct processing of intensity values. The operator detects the regions of the ...
Ariel Tankus, Hezy Yeshurun, Nathan Intrator
129
Voted
ESANN
2004
15 years 2 months ago
Evolutionary Optimization of Neural Networks for Face Detection
For face recognition from video streams speed and accuracy are vital aspects. The first decision whether a preprocessed image region represents a human face or not is often made by...
Stefan Wiegand, Christian Igel, Uwe Handmann
107
Voted
CVIU
2006
214views more  CVIU 2006»
15 years 22 days ago
A survey of approaches and challenges in 3D and multi-modal 3D + 2D face recognition
This survey focuses on recognition performed by matching models of the three-dimensional shape of the face, either alone or in combination with matching corresponding two-dimensio...
Kevin W. Bowyer, Kyong I. Chang, Patrick J. Flynn