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PAMI
2007
262views more  PAMI 2007»
13 years 5 months ago
An Efficient Multimodal 2D-3D Hybrid Approach to Automatic Face Recognition
—We present a fully automatic face recognition algorithm and demonstrate its performance on the FRGC v2.0 data. Our algorithm is multimodal (2D and 3D) and performs hybrid (featu...
Ajmal S. Mian, Mohammed Bennamoun, Robyn A. Owens
ICIP
2007
IEEE
13 years 9 months ago
A Novel Facial Feature Point Localization Method on 3D Faces
Although 2D-based face recognition methods have made great progress in the past decades, there are also some unsolved problems such as PIE. Recently, more and more researchers hav...
Peng Guan, Yaoliang Yu, Liming Zhang
FGR
2008
IEEE
208views Biometrics» more  FGR 2008»
14 years 7 days 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
PR
2008
146views more  PR 2008»
13 years 5 months ago
Integration of local and global geometrical cues for 3D face recognition
We present a unified feature representation of 2.5D pointclouds and apply it to face recognition. The representation integrates local and global geometrical cues in a single compa...
Faisal R. Al-Osaimi, Mohammed Bennamoun, Ajmal S. ...
AMFG
2005
IEEE
203views Biometrics» more  AMFG 2005»
13 years 11 months ago
Learning to Fuse 3D+2D Based Face Recognition at Both Feature and Decision Levels
2D intensity images and 3D shape models are both useful for face recognition, but in different ways. While algorithms have long been developed using 2D or 3D data, recently has see...
Stan Z. Li, ChunShui Zhao, Meng Ao, Zhen Lei