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» Using Component Features for Face Recognition
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138
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FGR
2004
IEEE
107views Biometrics» more  FGR 2004»
15 years 6 months ago
Intra-Personal Kernel Space for Face Recognition
Intra-personal space modeling proposed by Moghaddam et. al. has been successfully applied in face recognition. In their work the regular principal subspaces are derived from the i...
Shaohua Kevin Zhou, Rama Chellappa, Baback Moghadd...
PAMI
1998
145views more  PAMI 1998»
15 years 2 months ago
An Analytic-to-Holistic Approach for Face Recognition Based on a Single Frontal View
—In this paper, we propose an analytic-to-holistic approach which can identify faces at different perspective variations. The database for the test consists of 40 frontal-view fa...
Kin-Man Lam, Hong Yan
MVA
2000
119views Computer Vision» more  MVA 2000»
15 years 3 months ago
Feature Ordering by Cross Validation for Face Detection
This paper presents the method to determine the order of feature (attention) points for face detection. The order of feature points is determined in terms of the classification ab...
Takio Kurita, Kazuhiro Hotta, Taketoshi Mishima
134
Voted
ICMCS
2005
IEEE
94views Multimedia» more  ICMCS 2005»
15 years 8 months ago
Using partial information for face recognition and pose estimation
The main achievement of this work is the development of a new face recognition approach called Partial Principal Component Analysis (P2 CA), which exploits the novel concept of us...
Antonio Rama, Francesc Tarres, Davide Onofrio, Ste...
ICMCS
2006
IEEE
124views Multimedia» more  ICMCS 2006»
15 years 8 months ago
Face Recognition using Energy Probability in DCT Domain
In this paper, we propose a novel feature extraction method for face recognition. This method is based on Discrete Cosine Transform (DCT), Energy Probability (EP), and Linear Disc...
Jean Choi, Yun-Su Chung, Ki-Hyun Kim, Jang-Hee Yoo