| 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 [1] 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 |
| Pages: |
6 pp. |
| Location: |
Baltimore, MD |
| 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 (249KB) |
