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» Boosting Color Feature Selection for Color Face Recognition
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TIP
2011
137views more  TIP 2011»
12 years 10 months ago
Boosting Color Feature Selection for Color Face Recognition
—This paper introduces the new color face recognition (FR) method that makes effective use of boosting learning as color-component feature selection framework. The proposed boost...
Jae Young Choi, Yong Man Ro, Konstantinos N. Plata...
MVA
2002
261views Computer Vision» more  MVA 2002»
13 years 4 months ago
Detecting Faces in Color Images Using an Adaptive Color Model and Salient Features
Face detection has many interesting applications such as a face recognition system, a surveillance system, and videolimage indexing system. In this paper, we propose a new method ...
Hang-Bong Kang
ICPR
2008
IEEE
13 years 10 months ago
Color face recognition based on 2DPCA
This paper presents a novel color face recognition approach based on 2DPCA. A matrix-representation model, which encodes the color information directly, is proposed to describe th...
Chengzhang Wang, Baocai Yin, Xiaoming Bai, Yanfeng...
ICPR
2006
IEEE
14 years 5 months ago
A Person and Context Specific Approach for Skin Color Classification
Skin color is an important feature of faces. Various applications benefit from robust skin color detection. Depending on camera settings, illumination, shadows, people's tans...
Matthias Wimmer, Bernd Radig, Michael Beetz
TSMC
2010
12 years 11 months ago
Studies on Hyperspectral Face Recognition in Visible Spectrum With Feature Band Selection
: This paper studies face recognition by using hyperspectral imagery in the visible light bands. The spectral measurements over the visible spectrum have different discriminatory i...
Wei Di, Lei Zhang 0006, David Zhang, Quan Pan