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  4. Facial texture super-resolution by fitting 3D face models
 
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2018
Doctoral Thesis
Title

Facial texture super-resolution by fitting 3D face models

Abstract
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.
Thesis Note
Zugl.: Karlsruhe, Inst. für Technologie (KIT), Diss., 2018
Author(s)
Qu, Chengchao
Advisor(s)
Beyerer, Jürgen  
Publisher
KIT Scientific Publishing  
Publishing Place
Karlsruhe
Open Access
File(s)
Download (44.81 MB)
Rights
CC BY-NC-SA 4.0: Creative Commons Attribution-NonCommercial-ShareAlike
DOI
10.5445/KSP/1000085134
10.24406/publica-r-282353
Language
English
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB  
Keyword(s)
  • 3D

  • superresolution

  • Gesichtsmodellierung

  • Gesichtsanalyse

  • super-resolution

  • face hallucination

  • face modeling

  • face analysis

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