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» Resampling for Face Recognition
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117
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FGR
2006
IEEE
134views Biometrics» more  FGR 2006»
15 years 4 months ago
Expanding Training Set for Chinese Sign Language Recognition
In Sign Language recognition, one of the problems is to collect enough training data. Almost all of the statistical methods used in Sign Language Recognition suffer from this prob...
Chunli Wang, Xilin Chen, Wen Gao
115
Voted
CAIP
2007
Springer
106views Image Analysis» more  CAIP 2007»
15 years 7 months ago
A New Manifold Representation for Visual Speech Recognition
In this paper, we propose a new manifold representation capable of being applied for visual speech recognition. In this regard, the real time input video data is compressed using P...
Dahai Yu, Ovidiu Ghita, Alistair Sutherland, Paul ...
151
Voted
ICIP
2009
IEEE
16 years 1 months ago
Asymmetric 3d/2d Face Recognition Based On Lbp Facial Representation And Canonical Correlation Analysis
In the recent years, 3D Face recognition has emerged as a major solution to deal with the unsolved issues for reliable 2D face recognition, i.e. lighting condition and viewpoint v...
ICIAR
2010
Springer
15 years 5 months ago
Adaptation of SIFT Features for Robust Face Recognition
Abstract. The Scale Invariant Feature Transform (SIFT) is an algorithm used to detect and describe scale-, translation- and rotation-invariant local features in images. The origina...
Janez Krizaj, Vitomir Struc, Nikola Pavesic
133
Voted
CVPR
2009
IEEE
1096views Computer Vision» more  CVPR 2009»
16 years 7 months ago
How far can you get with a modern face recognition test set using only simple features?
In recent years, large databases of natural images have become increasingly popular in the evaluation of face and object recognition algorithms. However, Pinto et al. previously ...
Nicolas Pinto, James J. DiCarlo, David D. Cox