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                            Library & Multimedia
 Site-adaptation methods for face recognition
NCJ Number
              305612

Author(s)
          Jilin Tu;
                        Xiaoming Liu;
                        Peter Tu
Date Published

January 2010
Length
              6 pages
Annotation
              The authors propose site adaptation for generic face recognizers based on facial images captured by cameras at the site as an adaptation set.
Abstract
              Based on an OSFV[20] face recognizer with Gabor features selected by Adaboost algorithm, the authors propose several site adaptation methods at the feature level and at the model level. The experimental results showed that the proposed site adaptation approaches can significantly boost the performance of the authors’ generic face recognition algorithm at site with unforeseen illumination background and imaging conditions with a small adaptation set. (Publisher abstract provided)
      
  
          Additional Details
Grant Number(s)
        2007-DE-BX-K191


  
  
        
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        Site-Adaptive Face Recognition at a Distance
    
  
  
Date Published: January 1, 2010
    
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                Face recognition technology
        Equipment and technology
        Biometrics



  
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