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» A Gabor Feature Classifier for Face Recognition
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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...
FGR
2006
IEEE
131views Biometrics» more  FGR 2006»
15 years 5 months ago
Haar Features for FACS AU Recognition
We examined the effectiveness of using Haar features and the Adaboost boosting algorithm for FACS action unit (AU) recognition. We evaluated both recognition accuracy and processi...
Jacob Whitehill, Christian W. Omlin
FGR
2004
IEEE
94views Biometrics» more  FGR 2004»
15 years 3 months ago
Using Component Features for Face Recognition
In this paper we explore different strategies for classifier combination within the framework of component-based face recognition. In our current system, the gray values of facial...
Yuri Ivanov, Bernd Heisele, Thomas Serre
TIP
2008
142views more  TIP 2008»
14 years 11 months ago
Image Feature Localization by Multiple Hypothesis Testing of Gabor Features
Several novel and particularly successful object and object category detection and recognition methods based on image features, local descriptions of object appearance, have recent...
Jarmo Ilonen, Joni-Kristian Kamarainen, Pekka Paal...
AVBPA
2005
Springer
315views Biometrics» more  AVBPA 2005»
15 years 5 months ago
Multi-resolution Histograms of Local Variation Patterns (MHLVP) for Robust Face Recognition
This paper presents a novel approach to face recognition, named Multi-resolution Histograms of Local Variation Patterns (MHLVP), in which face images are represented as the concate...
Wenchao Zhang, Shiguang Shan, Hongming Zhang, Wen ...