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                            Funding & Awards
 Face Recognition From Video
Award Information
Awardee
              University of Notre Dame
Award #
              2006-IJ-CX-K041
Funding Category
              Competitive
Location
                    Notre Dame, IN
Congressional District
              2
Status
              Closed
Funding First Awarded
              2006
Total funding (to date)
              $362,476
Original Solicitation
              NIJ FY06 Biometrics Solicitation: Invited Full Applications
Description of original award (Fiscal Year 2006, $362,476)
The University of Notre Dame will investigate the effects of using varying quality of video sources for enrollment and recognition of human faces, and develop algorithms for selecting multiple frames from a video stream in order to maximize recognition performance.
ca/ncf



  
Grant-Funded Publications
        
                      Three-dimensional facial imaging using a static light screen (SLS) and a dynamic subject
                  3D signatures for fast 3D face recognition
                  Ensemble training to improve recognition using 2D ear
                  Impact of involuntary subject movement on 3d face scans
                  A Region Ensemble for 3-D Face Recognition
                  Increased Resolution 3D Face Modeling and Recognition From Multiple Low Resolution Structure From Motion Models
                  Multi-factor approach to improving recognition performance in surveillance-quality video
                  Profile face detection: a subset multi-biometric approach
                  Rotated Profile Signatures for robust 3D feature detection
                  Biometric recognition using 3D ear shape
                  A fast algorithm for ICP-based 3D shape biometrics
                  Challenges in executing data intensive biometric workloads on a desktop grid
                  Learning to predict gender from iris images
                  Multi-modal biometrics involving the human ear

  
Date Created: September 13, 2006
    
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