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158
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IJCV
2006
206views more  IJCV 2006»
15 years 23 days ago
Random Sampling for Subspace Face Recognition
Subspacefacerecognitionoftensuffersfromtwoproblems:(1)thetrainingsamplesetissmallcompared with the high dimensional feature vector; (2) the performance is sensitive to the subspace...
Xiaogang Wang, Xiaoou Tang
125
Voted
JCP
2008
167views more  JCP 2008»
15 years 23 days ago
Accelerated Kernel CCA plus SVDD: A Three-stage Process for Improving Face Recognition
kernel canonical correlation analysis (KCCA) is a recently addressed supervised machine learning methods, which shows to be a powerful approach of extracting nonlinear features for...
Ming Li, Yuanhong Hao
101
Voted
AMC
2005
128views more  AMC 2005»
15 years 21 days ago
A new face recognition method based on SVD perturbation for single example image per person
At present, there are many methods for frontal view face recognition. However, few of them can work well when only one example image per class is available. In this paper, we pres...
Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou
118
Voted
ISVC
2010
Springer
14 years 11 months ago
Face Recognition in Videos Using Adaptive Graph Appearance Models
Abstract. In this paper, we present a novel graph, sub-graph and supergraph based face representation which captures the facial shape changes and deformations caused due to pose ch...
Gayathri Mahalingam, Chandra Kambhamettu
97
Voted
ICB
2009
Springer
158views Biometrics» more  ICB 2009»
14 years 10 months ago
3D Face Recognition Using Joint Differential Invariants
Stemming from a sound mathematical framework dating back to the beginning of the 20th century, this paper introduces a novel approach for 3D face recognition. The proposed techniqu...
Marinella Cadoni, Manuele Bicego, Enrico Grosso