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» On the Dimensionality of Face Space
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CVPR
2008
IEEE
15 years 11 months ago
Face shape recovery from a single image using CCA mapping between tensor spaces
In this paper, we propose a new approach for face shape recovery from a single image. A single near infrared (NIR) image is used as the input, and a mapping from the NIR tensor sp...
Zhen Lei, Qinqun Bai, Ran He, Stan Z. Li
FGR
2004
IEEE
107views Biometrics» more  FGR 2004»
15 years 1 months ago
Intra-Personal Kernel Space for Face Recognition
Intra-personal space modeling proposed by Moghaddam et. al. has been successfully applied in face recognition. In their work the regular principal subspaces are derived from the i...
Shaohua Kevin Zhou, Rama Chellappa, Baback Moghadd...
ICPR
2004
IEEE
15 years 10 months ago
Real-Time Face Detection Using Boosting in Hierarchical Feature Spaces
Boosting-basedmethods have recently led to the state-ofthe-art face detection systems. In these systems, weak classifiers to be boosted are based on simple, local, Haar-like featu...
Daniel Gatica-Perez, Dong Zhang, Stan Z. Li
FGR
2006
IEEE
147views Biometrics» more  FGR 2006»
15 years 3 months ago
Learning Sparse Features in Granular Space for Multi-View Face Detection
In this paper, a novel sparse feature set is introduced into the Adaboost learning framework for multi-view face detection (MVFD), and a learning algorithm based on heuristic sear...
Chang Huang, Haizhou Ai, Yuan Li, Shihong Lao
FGR
2008
IEEE
266views Biometrics» more  FGR 2008»
15 years 4 months ago
Bilinear elastically deformable models with application to 3D face and facial expression recognition
In this paper, we explore bilinear and elastically deformable models for addressing jointly 3-dimensional face and facial expression recognition. An elastically deformable model i...
Iordanis Mpiperis, Sotiris Malassiotis, Michael G....