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» Face Recognition Using Ada-Boosted Gabor Features
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86
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CVPR
2008
IEEE
16 years 1 months ago
Action recognition by learning mid-level motion features
This paper presents a method for human action recognition based on patterns of motion. Previous approaches to action recognition use either local features describing small patches...
Alireza Fathi, Greg Mori
93
Voted
CVPR
2005
IEEE
16 years 1 months ago
Object Class Recognition Using Multiple Layer Boosting with Heterogeneous Features
We combine local texture features (PCA-SIFT), global features (shape context), and spatial features within a single multi-layer AdaBoost model of object class recognition. The fir...
Wei Zhang 0002, Bing Yu, Gregory J. Zelinsky, Dimi...
ICETET
2009
IEEE
14 years 9 months ago
Face Description with Local Invariant Features: Application to Face Recognition
A completely automatic face recognition system is presented. The method works on color face images and localizes the face region from them initially. It then determines and select...
Sanjay A. Pardeshi, S. N. Talbar
ICB
2007
Springer
136views Biometrics» more  ICB 2007»
15 years 5 months ago
Distance Measures for Gabor Jets-Based Face Authentication: A Comparative Evaluation
Local Gabor features (jets) have been widely used in face recognition systems. Once the sets of jets have been extracted from the two faces to be compared, a proper measure of simi...
Daniel González-Jiménez, Manuele Bic...
118
Voted
SCIA
2009
Springer
195views Image Analysis» more  SCIA 2009»
15 years 4 months 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...