Hu, S.
, Maschal, R.
, Young, S.
, Hong, T.
and Phillips, P.
(2010),
Performance Assessment of Face Recognition Using Super-Resolution, Proceedings of the 2010 Performance Metrics for Intelligent Systems (PerMIS) Workshop, Baltimore, MD, US, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=906932
(Accessed October 2, 2025)
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Performance Assessment of Face Recognition Using Super-Resolution
Published
Author(s)
Shuowen Hu, Robert Maschal, S. S. Young, ,
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 Title
Proceedings of the 2010 Performance Metrics for Intelligent Systems (PerMIS) Workshop
Conference Dates
September 28-30, 2010
Conference Location
Baltimore, MD, US
Pub Type
Conferences
Download Paper
Keywords
Super-resolution, face recognition, image enhancement, video surveillance
Citation
Issues
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Created October 24, 2010, Updated October 12, 2021