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» Meta-Analysis of Face Recognition Algorithms
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PSIVT
2009
Springer
181views Multimedia» more  PSIVT 2009»
14 years 4 months ago
Comparison of Visible, Thermal Infra-Red and Range Images for Face Recognition
Existing literature compares various biometric modalities of the face for human identification. The common criterion used for comparison is the recognition rate of different face...
Ajmal Mian
IVC
2006
129views more  IVC 2006»
13 years 10 months ago
Measuring the performance of face localization systems
The purpose of Face localization is to determine the coordinates of a face in a given image. It is a fundamental research area in computer vision because it serves, as a necessary...
Yann Rodriguez, Fabien Cardinaux, Samy Bengio, Joh...
JCP
2008
167views more  JCP 2008»
13 years 10 months ago
Accelerated Kernel CCA plus SVDD: A Three-stage Process for Improving Face Recognition
kernel canonical correlation analysis (KCCA) is a recently addressed supervised machine learning methods, which shows to be a powerful approach of extracting nonlinear features for...
Ming Li, Yuanhong Hao
PR
2006
131views more  PR 2006»
13 years 10 months ago
A face recognition system based on automatically determined facial fiducial points
In this paper a completely automatic face recognition system is presented. The method works on color images: after having localized the face and the facial features, it determines...
Stefano Arca, Paola Campadelli, Raffaella Lanzarot...
CVPR
2010
IEEE
14 years 3 months ago
Adaptive Generic Learning for Face Recognition from a Single Sample per Person
Real-world face recognition systems often have to face the single sample per person (SSPP) problem, that is, only a single training sample for each person is enrolled in the datab...
Yu Su, Shiguang Shan, Xilin Chen, wen Gao