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Dense 3D Face Alignment from 2D Videos in Real-Time
To enable real-time, person-independent 3D registration from 2D video, we developed a 3D cascade regression approach in which facial landmarks remain invariant across pose over a range of approximately 60 degrees. From a single 2D image of a person's face, a dense 3D shape is registered in real...
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| Veröffentlicht in: | IEEE Int Conf Autom Face Gesture Recognit Workshops |
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| Hauptverfasser: | , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2015
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4900890/ https://ncbi.nlm.nih.gov/pubmed/27293385 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/FG.2015.7163142 |
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