We propose a method designed to push the frontiers of unconstrained face recognition in the wild with an emphasis on extreme out-of-plane pose variations. Existing methods either expect a single model to learn pose invariance by training on massive amounts of data or else normalize images by alignin...
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 41(2019), 2 vom: 25. Feb., Seite 379-393
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| 1. Verfasser: |
Masi, Iacopo
(VerfasserIn) |
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| Weitere Verfasser: |
Chang, Feng-Ju,
Choi, Jongmoo,
Harel, Shai,
Kim, Jungyeon,
Kim, KangGeon,
Leksut, Jatuporn,
Rawls, Stephen,
Wu, Yue,
Hassner, Tal,
AbdAlmageed, Wael,
Medioni, Gerard,
Morency, Louis-Philippe,
Natarajan, Prem,
Nevatia, Ram |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2019
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
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| Schlagworte: | Journal Article
Research Support, U.S. Gov't, Non-P.H.S. |
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