Take a sneak peek at the new NIST.gov and let us know what you think!
(Please note: some content may not be complete on the beta site.).
NIST Authors in Bold
|Author(s):||Shuowen Hu; Robert Maschal; S. S. Young; Tsai Hong Hong; P J. Phillips;|
|Title:||Performance Assessment of Face Recognition Using Super-Resolution|
|Published:||October 25, 2010|
|Abstract:||Recognition rate of face recognition algorithms is dependent on the resolution of the imagery, specifically the number of pixels contained within the face. Using a sequence of frames from low-resolution videos, super-resolution reconstruction can form a higher resolution image, aiding the face recognition stage for improved performance. In this work, gallery sets and probe sets from the video database of moving faces and people  are used to assess the performance improvement of face recognition using super-resolution.|
|Proceedings:||Proceedings of the 2010 Performance Metrics for Intelligent Systems (PerMIS) Workshop|
|Dates:||September 28-30, 2010|
|Keywords:||Super-resolution, face recognition, image enhancement, video surveillance|
|Research Areas:||Assessment, Perception, Manufacturing, Metrology, Measurements|
|PDF version:||Click here to retrieve PDF version of paper (255KB)|