• Media type: Doctoral Thesis; E-Book; Electronic Thesis; Text
  • Title: Facial Texture Super-Resolution by Fitting 3D Face Models
  • Contributor: Qu, Chengchao [Author]
  • imprint: KIT Scientific Publishing, Karlsruhe, 2018-01-01
  • Language: English
  • DOI: https://doi.org/10.5445/KSP/1000085134
  • ISBN: 978-3-7315-0828-1
  • ISSN: 1863-6489
  • Keywords: Face Analysis ; 3D ; Gesichtsmodellierung ; DATA processing & computer science ; Face Modeling ; Face Hallucination ; Superresolution ; Gesichtsanalyse ; Super-Resolution
  • Origination:
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  • Description: 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.
  • Access State: Open Access