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                            Library & Multimedia
 Video-based face model fitting using adaptive active appearance model
NCJ Number
              305623
Journal

*Image and Vision Computing* Volume: 28 Issue: 7 Dated: July 2010 Pages: 1162-1172
Author(s)
          Xiaoming Liu
Date Published

2010
Length
              11 pages
Annotation
              This paper proposes the fitting of an Adaptive Active Appearance Model (AAAM) to video sequences for improved quality of real-world video content.
Abstract
              For many applications, effectively fitting an AAM to video sequences is of critical importance and challenging, especially considering the varying quality of real-world video content. While the generic AAM component is held fixed, the subject-specific model component is updated during the fitting process by selecting the frames that can be best explained by the generic model. Experimental results from both indoor and outdoor representative video sequences demonstrate the faster fitting convergence and improved fitting accuracy.  (Publisher abstract provided)
      
  
          Additional Details
Grant Number(s)
        2007-DE-BX-K191
                                2005-IJ-CX-K060


  
  
        
  Agencies
        NIJ-Sponsored


  
  
        
  Award
        Site-Adaptive Face Recognition at a Distance
                                High Quality 3D Facial Images From Surveillance Video
    
  
  
Date Published: January 1, 2010
    
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