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Publication Citation: Performance Assessment of Face Recognition Using Super-Resolution

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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: PDF Document Click here to retrieve PDF version of paper (255KB)