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ICIP
2002
IEEE
14 years 9 months ago
Boosting face recognition on a large-scale database
Performance of many state-of-the-art face recognition (FR) methods deteriorates rapidly, when large in size databases are considered. In this paper, we propose a novel clustering ...
Juwei Lu, Konstantinos N. Plataniotis
SCIA
2009
Springer
195views Image Analysis» more  SCIA 2009»
14 years 13 days ago
Multi-band Gradient Component Pattern (MGCP): A New Statistical Feature for Face Recognition
A feature extraction method using multi-frequency bands is proposed for face recognition, named as the Multi-band Gradient Component Pattern (MGCP). The MGCP captures discriminativ...
Yimo Guo, Jie Chen, Guoying Zhao, Matti Pietik&aum...
ICCV
2003
IEEE
14 years 9 months ago
Unified Subspace Analysis for Face Recognition
We propose a face difference model that decomposes face difference into three components, intrinsic difference, transformation difference, and noise. Using the face difference mod...
Xiaogang Wang, Xiaoou Tang

Publication
209views
12 years 9 months ago
A Review of Facial Feature Detection Algorithms
Facial feature localization is an important task in numerous applications of face image analysis that include face recognition and verification, facial expression recognition, dr...
Stylianos Asteriadis, Nikos Nikolaidis, Ioannis Pi...
MVA
2000
119views Computer Vision» more  MVA 2000»
13 years 9 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