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FGR
2006
IEEE
255views Biometrics» more  FGR 2006»
15 years 1 months ago
Incremental Kernel SVD for Face Recognition with Image Sets
Non-linear subspaces derived using kernel methods have been found to be superior compared to linear subspaces in modeling or classification tasks of several visual phenomena. Such...
Tat-Jun Chin, Konrad Schindler, David Suter
PR
2008
115views more  PR 2008»
14 years 9 months ago
Fractional order singular value decomposition representation for face recognition
Face Representation (FR) plays a typically important role in face recognition and methods such as Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) have be...
Jun Liu, Songcan Chen, Xiaoyang Tan
GI
2009
Springer
14 years 7 months ago
A Modular Framework to Detect and Analyze Faces for Audience Measurement Systems
: In this paper we describe an approach that enables the detection, tracking and fine analysis (classification of gender and facial expression) of faces using a single web camera. ...
Christian Küblbeck, Tobias Ruf, Andreas Ernst
TSMC
2008
182views more  TSMC 2008»
14 years 8 months ago
Incremental Linear Discriminant Analysis for Face Recognition
Abstract--Dimensionality reduction methods have been successfully employed for face recognition. Among the various dimensionality reduction algorithms, linear (Fisher) discriminant...
Haitao Zhao, Pong Chi Yuen
122
Voted
ICPR
2006
IEEE
15 years 10 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