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                            Funding & Awards
 High Quality 3D Facial Images From Surveillance Video
Award Information
Awardee
              GE
Award #
              2005-IJ-CX-K060
Funding Category
              Competitive
Location
                    Niskayuna, NY
Congressional District
              20
Status
              Closed
Funding First Awarded
              2005
Total funding (to date)
              $499,962
Original Solicitation
              Sensors, Surveillance and Biometrics Technologies for Criminal Justice Application Full Applications
Description of original award (Fiscal Year 2005, $499,962)
GE Global Research will develop the Face Enhancer system which will consist of a near real-time PC-based solution taking surveillance video as input. Automatic face detection will scan the video for potential subjects. A 3D face model will be aligned to each detected individual in the video sequence. 3D surface super-resolution techniques will use the aligned 3D face model and combine the video frames to synthesize a facial image which has up to 50% higher resolution than a single frame. The resulting high-resolution 3D facial surface will be rotated and rendered so that the subject can be viewed from an arbitrary pose.


ca/ncf



  
Grant-Funded Publications
        
                      Face Model Fitting on Low Resolution Images
                  Improved Face Model Fitting on Video Sequences
                  Face recognition at a distance
                  Video analytics for force protection
                  Video-based face model fitting using adaptive active appearance model
                  Discriminative Face Alignment
                  An intelligent video framework for homeland protection
                  Generic face alignment using boosted appearance model
                  Gradient feature selection for online boosting
                  Multi-frame super-resolution for face recognition
                  What are customers looking at?

  
Date Created: September 15, 2005
    
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                  Quantitative Assessment of Fracture Characteristics in Blunt Force Skeletal Trauma for Forensic Interpretations
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