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» Boosting linear discriminant analysis for face recognition
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CVPR
2006
IEEE
14 years 9 months ago
Local Steerable Phase (LSP) Feature for Face Representation and Recognition
In this paper, we propose a novel local steerable phase (LSP) feature extracted from the face image using steerable filter for face representation and recognition. Steerable filte...
Xiaoxun Zhang, Yunde Jia
ICB
2007
Springer
308views Biometrics» more  ICB 2007»
14 years 1 months ago
Learning Multi-scale Block Local Binary Patterns for Face Recognition
Abstract. In this paper, we propose a novel representation, called Multiscale Block Local Binary Pattern (MB-LBP), and apply it to face recognition. The Local Binary Pattern (LBP) ...
ShengCai Liao, XiangXin Zhu, Zhen Lei, Lun Zhang, ...
BMCBI
2010
126views more  BMCBI 2010»
13 years 7 months ago
A boosting method for maximizing the partial area under the ROC curve
Background: The receiver operating characteristic (ROC) curve is a fundamental tool to assess the discriminant performance for not only a single marker but also a score function c...
Osamu Komori, Shinto Eguchi
IJCV
2010
223views more  IJCV 2010»
13 years 2 months ago
Anthropometric 3D Face Recognition
Abstract We present a novel anthropometric three dimensional (Anthroface 3D) face recognition algorithm, which is based on a systematically selected set of discriminatory structura...
Shalini Gupta, Mia K. Markey, Alan C. Bovik
CVPR
2008
IEEE
14 years 9 months ago
On the use of independent tasks for face recognition
We present a method for learning discriminative linear feature extraction using independent tasks. More concretely, given a target classification task, we consider a complementary...
Àgata Lapedriza, David Masip, Jordi Vitri&a...