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ICIAR
2010
Springer
15 years 8 months ago
Adaptation of SIFT Features for Robust Face Recognition
Abstract. The Scale Invariant Feature Transform (SIFT) is an algorithm used to detect and describe scale-, translation- and rotation-invariant local features in images. The origina...
Janez Krizaj, Vitomir Struc, Nikola Pavesic
166
Voted
CVPR
2009
IEEE
1096views Computer Vision» more  CVPR 2009»
16 years 10 months ago
How far can you get with a modern face recognition test set using only simple features?
In recent years, large databases of natural images have become increasingly popular in the evaluation of face and object recognition algorithms. However, Pinto et al. previously ...
Nicolas Pinto, James J. DiCarlo, David D. Cox
ICIP
2003
IEEE
16 years 5 months ago
Statistical modeling for facial expression analysis and synthesis
Facial expression interpretation, recognition and analysis is a key issue in visual communication and man to machine interaction. In this paper, we present a technique for extract...
Bouchra Abboud, Franck Davoine, M. Dang
ICPR
2008
IEEE
15 years 10 months ago
Face recognition using anisotropic dual-tree complex wavelet packets
In this paper, we propose a novel face recognition method based on anisotropic dual-tree complex wavelet packets(ADT-CWP). 2-D dual-tree complex wavelet transform(DT-CWT) provides...
YiGang Peng, Xudong Xie, Wenli Xu, Qionghai Dai
ICCV
2007
IEEE
15 years 10 months ago
Hierarchical Ensemble of Global and Local Classifiers for Face Recognition
In the literature of psychophysics and neurophysiology, many studies have shown that both global and local features are crucial for face representation and recognition. This paper...
Yu Su, Shiguang Shan, Xilin Chen, Wen Gao