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ISNN
2004
Springer
14 years 2 months ago
Progressive Principal Component Analysis
Abstract. Principal Component Analysis (PCA) is a feature extraction approach directly based on a whole vector pattern and acquires a set of projections that can realize the best r...
Jun Liu, Songcan Chen, Zhi-Hua Zhou
IVC
2006
187views more  IVC 2006»
13 years 8 months ago
Dynamics of facial expression extracted automatically from video
We present a systematic comparison of machine learning methods applied to the problem of fully automatic recognition of facial expressions, including AdaBoost, support vector mach...
Gwen Littlewort, Marian Stewart Bartlett, Ian R. F...
ICIP
2008
IEEE
14 years 10 months ago
Significant jet point for facial image representation and recognition
Gabor wavelet related feature extraction and classification is an important topic in image analysis and pattern recognition. Gabor features can be used either holistically or anal...
Sanqiang Zhao, Yongsheng Gao
TIFS
2008
129views more  TIFS 2008»
13 years 8 months ago
On Empirical Recognition Capacity of Biometric Systems Under Global PCA and ICA Encoding
Performance of biometric-based recognition systems depends on various factors: database quality, image preprocessing, encoding techniques, etc. Given a biometric database and a se...
Natalia A. Schmid, Francesco Nicolo
ICAPR
2005
Springer
14 years 2 months ago
Fingerprint Image Enhancement Using STFT Analysis
Contrary to popular belief, despite decades of research in fingerprints, reliable fingerprint recognition is an open problem. Extracting features out of poor quality prints is t...
Sharat Chikkerur, Venu Govindaraju, Alexander N. C...