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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
File(s)
Rights
CC BY-NC-SA 4.0: Creative Commons Attribution-NonCommercial-ShareAlike
Language
English