Virtual sample based techniques using deep features for SSPP face recognition in unconstrained envir...
Virtual sample based techniques using deep features for SSPP face recognition in unconstrained environment
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Publisher
United States: Public Library of Science
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Language
English
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Publisher
United States: Public Library of Science
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Contents
As challenging as it is to use face recognition with a Single Sample Per Person, it becomes even more difficult when face recognition based on a single sample is performed in an unconstrained environment. The unconstrained environment is normally considered irregular in facial expressions, pose, occlusion, and illumination. This degree of difficult...
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Full title
Virtual sample based techniques using deep features for SSPP face recognition in unconstrained environment
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TN_cdi_plos_journals_3206831878
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_3206831878
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ISSN
1932-6203
E-ISSN
1932-6203
DOI
10.1371/journal.pone.0322638
