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Facial Texture Super-Resolution by Fitting 3D Face Models
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This book proposes to solve the low-resolution (LR) facial analysis problem with 3D face super-resolution (FSR). A complete processing chain is presented towards effective 3D FSR in real world. To deal with the extreme challenges of incorporating 3D modeling under the ill-posed LR condition, a novel workflow coupling automatic localization of 2D facial feature points and 3D shape reconstruction is developed, leading to a robust pipeline for pose-invariant hallucination of the 3D facial texture.
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Facial Texture Super-Resolution by Fitting 3D Face Models, Chengchao Qu
- Sprache
- Erscheinungsdatum
- 2018
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- Titel
- Facial Texture Super-Resolution by Fitting 3D Face Models
- Sprache
- Englisch
- Autor*innen
- Chengchao Qu
- Verlag
- KIT Scientific Publishing
- Erscheinungsdatum
- 2018
- ISBN10
- 3731508281
- ISBN13
- 9783731508281
- Reihe
- Karlsruher Schriften zur Anthropomatik
- Kategorie
- Informatik & Programmierung
- Beschreibung
- This book proposes to solve the low-resolution (LR) facial analysis problem with 3D face super-resolution (FSR). A complete processing chain is presented towards effective 3D FSR in real world. To deal with the extreme challenges of incorporating 3D modeling under the ill-posed LR condition, a novel workflow coupling automatic localization of 2D facial feature points and 3D shape reconstruction is developed, leading to a robust pipeline for pose-invariant hallucination of the 3D facial texture.