Performance assessment of face recognition using super-resolution
Shuowen Hu, Tsai Hong Hong, Robert Maschal, Jonathon P. Phillips, S. Susan Young · 2010
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 image reconstruction can form a higher resolution image, aiding the face recognition stage for improved performance. In this work, images from a video database of moving faces and people are used to assess the performance improvement of face recognition using super-resolution.