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AVBPA
2003
Springer
158views Biometrics» more  AVBPA 2003»
15 years 3 months ago
A Novel Method to Extract Features for Iris Recognition System
In general, the iris recognition systems have used the wavelet transform as feature extraction techniques. Since the wavelet transform does not have the shift-invariant property, t...
Seung-In Noh, Kwanghyuk Bae, Yeunggyu Park, Jaihie...
DAGM
2006
Springer
15 years 1 months ago
Exploiting Low-Level Image Segmentation for Object Recognition
Abstract. A method for exploiting the information in low-level image segmentations for the purpose of object recognition is presented. The key idea is to use a whole ensemble of se...
Volker Roth, Björn Ommer
CVPR
2004
IEEE
15 years 11 months ago
Random Sampling LDA for Face Recognition
Linear Discriminant Analysis (LDA) is a popular feature extraction technique for face recognition. However, It often suffers from the small sample size problem when dealing with t...
Xiaogang Wang, Xiaoou Tang
CVPR
2006
IEEE
15 years 11 months ago
3D Facial Expression Recognition Based on Primitive Surface Feature Distribution
The creation of facial range models by 3D imaging systems has led to extensive work on 3D face recognition [19]. However, little work has been done to study the usefulness of such...
Jun Wang, Lijun Yin, Xiaozhou Wei, Yi Sun
ICIP
2001
IEEE
15 years 11 months ago
Face modeling for recognition
3D Human face models have been widely used in applications such as face recognition, facial expression recognition, human action recognition, head tracking, facial animation, vide...
Rein-Lien Hsu, Anil K. Jain