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» Face Recognition Based on Multiple Facial Features
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115
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FGR
2006
IEEE
171views Biometrics» more  FGR 2006»
15 years 6 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
122
Voted
ECCV
2008
Springer
16 years 2 months ago
3D Face Model Fitting for Recognition
This paper presents an automatic efficient method to fit a statistical deformation model of the human face to 3D scan data. In a global to local fitting scheme, the shape parameter...
Frank B. ter Haar, Remco C. Veltkamp
99
Voted
ICASSP
2011
IEEE
14 years 4 months ago
Facial expression recognition using ensemble of classifiers
This paper presents a novel method for facial expression classification that employs the combination of two different feature sets in an ensemble approach. A pool of base classi...
Thiago H. H. Zavaschi, Alessandro L. Koerich, Luiz...
138
Voted
CVPR
2006
IEEE
15 years 2 months ago
Locally Linear Models on Face Appearance Manifolds with Application to Dual-Subspace Based Classification
Recently, there has been a flurry of research on face recognition based on multiple images or shots from either a video sequence or an image set. This paper is also such an attemp...
Wei Fan, Dit-Yan Yeung
117
Voted
FGR
2008
IEEE
208views Biometrics» more  FGR 2008»
15 years 7 months ago
Unsupervised learning from local features for video-based face recognition
This paper presents an unsupervised learning approach to video-based face recognition that does not make any assumptions about the pose, expressions or prior localization of landm...
Ajmal Mian