Facial Landmark Detection with Tweaked Convolutional Neural Networks
This paper concerns the problem of facial landmark detection. We provide a unique new analysis of the features produced at intermediate layers of a convolutional neural network (CNN) trained to regress facial landmark coordinates. This analysis shows that while being processed by the CNN, face image...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 40(2018), 12 vom: 14. Dez., Seite 3067-3074
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| 1. Verfasser: |
Wu, Yue
(VerfasserIn) |
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| Weitere Verfasser: |
Hassner, Tal,
Kim, KangGeon,
Medioni, Gerard,
Natarajan, Prem |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2018
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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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