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ICCV
2009
IEEE
13 years 3 months ago
On optimizing subspaces for face recognition
We propose a subspace learning algorithm for face recognition by directly optimizing recognition performance scores. Our approach is motivated by the following observations: 1) Di...
Jilin Tu, Xiaoming Liu, Peter Henry Tu
ICPR
2008
IEEE
13 years 11 months ago
IR and visible face recognition using fusion of kernel based features
In this paper we present the face recognition method using feature-level fusion where the infrared (IR) and visible face images are fused at transformed domain. The main contribut...
Shahbe Mat Desa, Subhas Hati
ICCV
2007
IEEE
13 years 11 months ago
Laplacian PCA and Its Applications
Dimensionality reduction plays a fundamental role in data processing, for which principal component analysis (PCA) is widely used. In this paper, we develop the Laplacian PCA (LPC...
Deli Zhao, Zhouchen Lin, Xiaoou Tang
CAIP
2003
Springer
164views Image Analysis» more  CAIP 2003»
13 years 10 months ago
Face Recognition by Fisher and Scatter Linear Discriminant Analysis
Fisher linear discriminant analysis (FLDA) based on variance ratio is compared with scatter linear discriminant (SLDA) analysis based on determinant ratio. It is shown that each o...
Miroslaw Bober, Krzysztof Kucharski, Wladyslaw Ska...
PR
2008
159views more  PR 2008»
13 years 5 months ago
A two-stage head pose estimation framework and evaluation
Head pose is an important indicator of a person's focus of attention. Also, head pose estimation can be used as the front-end analysis for multi-view face analysis. For examp...
Junwen Wu, Mohan M. Trivedi