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                            Library & Multimedia
 A Region Ensemble for 3-D Face Recognition
NCJ Number
              305677
Journal

*IEEE Trans. Information Forensics and Security* Volume: 3 Issue: 1 Dated: 2008 Pages: 62-73
Author(s)
          Timothy C. Faltemier;
                        Kevin W. Bowyer;
                        Patrick J. Flynn
Date Published

2008
Length
              12 pages
Annotation
              This paper introduces a new system for 3D face recognition based on the fusion of results from a committee of regions that have been independently matched.
Abstract
              Experimental results demonstrate that using 28 small regions on the face allow for the highest level of 3D face recognition. Score-based fusion is performed on the individual region match scores and experimental results show that the Borda count and consensus voting methods yield higher performance than the standard sum, product, and min fusion rules. In addition, results are reported that demonstrate the robustness of the authors’ algorithm by simulating large holes and artifacts in images. To the authors’ knowledge, no other work has been published that uses a large number of 3D face regions for high-performance face matching. Rank one recognition rates of 97.2% and verification rates of 93.2% at a 0.1% false accept rate are reported and compared to other methods published on the face recognition grand challenge v2 data set. (Publisher abstract provided)
      
  
          Additional Details
Grant Number(s)
        2006-IJ-CX-K041


  
  
        
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        Face Recognition From Video
    
  
  
Date Published: January 1, 2008
    
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