Side Information for Face Completion : A Robust PCA Approach
Robust principal component analysis (RPCA) is a powerful method for learning low-rank feature representation of various visual data. However, for certain types as well as significant amount of error corruption, it fails to yield satisfactory results; a drawback that can be alleviated by exploiting d...
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Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 41(2019), 10 vom: 07. Okt., Seite 2349-2364
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| 1. Verfasser: |
Xue, Niannan
(VerfasserIn) |
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| Weitere Verfasser: |
Deng, Jiankang,
Cheng, Shiyang,
Panagakis, Yannis,
Zafeiriou, Stefanos |
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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, Non-U.S. Gov't |
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