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» The development features of the face recognition system
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PRL
2007
147views more  PRL 2007»
15 years 1 months ago
Volume measure in 2DPCA-based face recognition
Two-dimensional principal component analysis (2DPCA) is based on the 2D images rather than 1D vectorized images like PCA, which is a classical feature extraction technique in face...
Jicheng Meng, Wenbin Zhang
122
Voted
ICIP
2009
IEEE
16 years 2 months ago
Determining Discriminative Anatomical Point Pairings Using Adaboost For 3d Face Recognition
In this paper, we present a novel method for 3D face recognition using adaboosted geodesic distance features. Firstly, a generic model is finely conformed to each face model conta...
FGR
2004
IEEE
193views Biometrics» more  FGR 2004»
15 years 5 months ago
Face Recognition Using Ada-Boosted Gabor Features
Face representation based on Gabor features has attracted much attention and achieved great success in face recognition area for the advantages of the Gabor features. However, Gab...
Peng Yang, Shiguang Shan, Wen Gao, Stan Z. Li, Don...
90
Voted
ICB
2007
Springer
129views Biometrics» more  ICB 2007»
15 years 8 months ago
Feature Correlation Filter for Face Recognition
The correlation filters for pattern recognition, have been extensively studied in the areas of automatic target recognition(ATR) and biometrics. Whereas the conventional correlati...
XiangXin Zhu, ShengCai Liao, Zhen Lei, Rong Liu, S...
140
Voted
AVBPA
2003
Springer
582views Biometrics» more  AVBPA 2003»
15 years 7 months ago
Performance Evaluation of Face Recognition Algorithms on the Asian Face Database, KFDB
Human face is one of the most common and useful keys to a person’s identity. Many algorithms have been developed for automatic face recognition. And a number of commercial produc...
Bon-Woo Hwang, Hyeran Byun, Myung-Cheol Roh, Seong...