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» Improving Face Recognition by Online Image Alignment
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ICCV
2005
IEEE
15 years 11 months ago
Multi-Modal Tensor Face for Simultaneous Super-Resolution and Recognition
Face images of non-frontal views under poor illumination with low resolution reduce dramatically face recognition accuracy. This is evident most compellingly by the very low recog...
Kui Jia, Shaogang Gong
ICB
2007
Springer
207views Biometrics» more  ICB 2007»
15 years 1 months ago
Super-Resolved Faces for Improved Face Recognition from Surveillance Video
Characteristics of surveillance video generally include low resolution and poor quality due to environmental, storage and processing limitations. It is extremely difficult for comp...
Frank Lin, Clinton Fookes, Vinod Chandran, Sridha ...
ICPR
2008
IEEE
15 years 4 months ago
A comparative evaluation of Average Face on holistic and local face recognition approaches
This study focuses on a recent paper "100% Accuracy in Automatic Face Recognition" published on Science, in which an "Average Face" is proposed and claimed to ...
Sanqiang Zhao, Xiaozheng Zhang, Yongsheng Gao
ICIP
2008
IEEE
15 years 11 months ago
Spectral range selection for face recognition under various illuminations
Multipectral imaging and fusion of multispectral images in visible spectrum have been employed and proved to enhance the recognition performance over conventional broad-band image...
Hong Chang, Yi Yao, Andreas Koschan, Besma R. Abid...
84
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AVBPA
2003
Springer
147views Biometrics» more  AVBPA 2003»
15 years 2 months ago
An Image Preprocessing Algorithm for Illumination Invariant Face Recognition
Face recognition algorithms have to deal with significant amounts of illumination variations between gallery and probe images. State-of-the-art commercial face recognition algori...
Ralph Gross, Vladimir Brajovic