Facial Texture Super-Resolution by Fitting 3D Face Models

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...

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Bibliographic Details
Main Author: Qu, Chengchao (auth)
Format: Electronic Book Chapter
Language:English
Published: KIT Scientific Publishing 2018
Series:Karlsruher Schriften zur Anthropomatik / Lehrstuhl für Interaktive Echtzeitsysteme, Karlsruher Institut für Technologie ; Fraunhofer-Inst. für Optronik, Systemtechnik und Bildauswertung IOSB Karlsruhe
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DOAB: description of the publication
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245 1 0 |a Facial Texture Super-Resolution by Fitting 3D Face Models 
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506 0 |a Open Access  |2 star  |f Unrestricted online access 
520 |a 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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546 |a English 
653 |a Super-Resolution 
653 |a 3D 
653 |a Gesichtsanalyse 
653 |a Superresolution 
653 |a Gesichtsmodellierung 
653 |a Face Hallucination 
653 |a Face Analysis 
653 |a Face Modeling 
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