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face recognition

Known as: faces recognition 
National Institutes of Health

Papers overview

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2018
2018
Domain adaptation is one of the major challenges for face recognition (FR). Most large-scale FR training datasets are built from… 
2016
2016
Face recognition (FR) system is one of the prominent research areas in pattern recognition and computer vision because of its… 
2015
2015
Face Recognition (FR) is one the most active and widely investigated techniques in computer vision. It is used in a variety of… 
2013
2013
Face recognition (FR) is a challenging issue due to variations in pose, illumination, and expression. The search results for most… 
2013
2013
We present a novel solution towards the problem of pose and illumination variation of face detection (FD) and face recognition… 
2013
2013
For the purpose of face recognition (FR), the new color local texture features, i.e., color local Gabor wavelets (CLGWs) and… 
2013
2013
Nowadays Image Processing and Image Enhancement play a vital role in many of numerous applications. This paper introduces the new… 
2010
2010
Boosting is a general method for improving the accuracy of any given learning algorithm. In this paper, we have proposed the… 
2009
2009
Automatic face annotation (or tagging) facilitates improved retrieval and organization of personal photos in online social… 
2008
2008
In this paper, chromatic information is integrated with an Adaboost learner to address non linearities in face patterns and…