Face Frontalization Using an Appearance-Flow-Based Convolutional Neural Network
Facial pose variation is one of the major factors making face recognition (FR) a challenging task. One popular solution is to convert non-frontal faces to frontal ones on which FR is performed. Rotating faces causes facial pixel value changes. Therefore, existing CNN-based methods learn to synthesiz...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 28(2019), 5 vom: 29. Mai, Seite 2187-2199
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| 1. Verfasser: |
Zhang, Zhihong
(VerfasserIn) |
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| Weitere Verfasser: |
Chen, Xu,
Wang, Beizhan,
Hu, Guosheng,
Zuo, Wangmeng,
Hancock, Edwin R |
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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 image processing : a publication of the IEEE Signal Processing Society
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| Schlagworte: | Journal Article |
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