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CORR
2008
Springer
159views Education» more  CORR 2008»
15 years 2 months ago
Face Detection Using Adaboosted SVM-Based Component Classifier
: Boosting is a general method for improving the accuracy of any given learning algorithm. In this paper we employ combination of Adaboost with Support Vector Machine (SVM) as comp...
Seyyed Majid Valiollahzadeh, Abolghasem Sayadiyan,...
FGR
2004
IEEE
132views Biometrics» more  FGR 2004»
15 years 6 months ago
Expand Training Set for Face Detection by GA Re-sampling
Data collection for both training and testing a classifier is a tedious but essential step towards face detection and recognition. All of the statistical methods suffer from this ...
Jie Chen, Xilin Chen, Wen Gao
CVPR
2008
IEEE
16 years 4 months ago
Precise detailed detection of faces and facial features
Face detection has advanced dramatically over the past three decades. Algorithms can now quite reliably detect faces in clutter in or near real time. However, much still needs to ...
Liya Ding, Aleix M. Martínez
AAAI
1998
15 years 3 months ago
Eye Finding via Face Detection for a Foveated Active Vision System
Eye finding is the first step toward building a machine that can recognize social cues, like eye contact and gaze direction, in a natural context. In this paper, we present a real...
Brian Scassellati
180
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3DIM
2011
IEEE
14 years 2 months ago
Automatic Keypoint Detection on 3D Faces Using a Dictionary of Local Shapes
—Keypoints on 3D surfaces are points that can be extracted repeatably over a wide range of 3D imaging conditions. They are used in many 3D shape processing applications; for exam...
Clement Creusot, Nick Pears, Jim Austin