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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Autor principal: Qu, Chengchao
Formato: Online
Idioma:inglês
Publicado em: KIT Scientific Publishing 2021
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Acesso em linha:34223
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author Qu, Chengchao
author_browse Qu, Chengchao
author_facet Qu, Chengchao
author_sort Qu, Chengchao
collection Directory of Open Access Books
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.
format Online
id doab-20.500.12854ir-47311
institution Directory of Open Access Books
language eng
publishDate 2021
publishDateRange 2021
publishDateSort 2021
publisher KIT Scientific Publishing
publisherStr KIT Scientific Publishing
record_format ojs
spelling doab-20.500.12854ir-473112023-12-20T18:40:52Z Facial Texture Super-Resolution by Fitting 3D Face Models Qu, Chengchao QA75.5-76.95 Super-Resolution 3D Gesichtsanalyse Superresolution Gesichtsmodellierung Face Hallucination Face Analysis Face Modeling bic Book Industry Communication::U Computing & information technology::UY Computer science 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. 2021-02-11T13:23:34Z 2021-02-11T13:23:34Z 2019-07-28 18:37:01 2018 book 34223 18636489 9783731508281 https://directory.doabooks.org/handle/20.500.12854/47311 eng Karlsruher Schriften zur Anthropomatik / Lehrstuhl für Interaktive Echtzeitsysteme, Karlsruher Institut für Technologie ; Fraunhofer-Inst. für Optronik, Systemtechnik und Bildauswertung IOSB Karlsruhe image/jpeg Attribution-ShareAlike 4.0 International https://www.ksp.kit.edu/9783731508281 KIT Scientific Publishing 10.5445/KSP/1000085134 10.5445/KSP/1000085134 68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2 9783731508281 ix, 205 p. open access
spellingShingle QA75.5-76.95
Super-Resolution
3D
Gesichtsanalyse
Superresolution
Gesichtsmodellierung
Face Hallucination
Face Analysis
Face Modeling
bic Book Industry Communication::U Computing & information technology::UY Computer science
Qu, Chengchao
Facial Texture Super-Resolution by Fitting 3D Face Models
title Facial Texture Super-Resolution by Fitting 3D Face Models
title_full Facial Texture Super-Resolution by Fitting 3D Face Models
title_fullStr Facial Texture Super-Resolution by Fitting 3D Face Models
title_full_unstemmed Facial Texture Super-Resolution by Fitting 3D Face Models
title_short Facial Texture Super-Resolution by Fitting 3D Face Models
title_sort facial texture super resolution by fitting 3d face models
topic QA75.5-76.95
Super-Resolution
3D
Gesichtsanalyse
Superresolution
Gesichtsmodellierung
Face Hallucination
Face Analysis
Face Modeling
bic Book Industry Communication::U Computing & information technology::UY Computer science
topic_facet QA75.5-76.95
Super-Resolution
3D
Gesichtsanalyse
Superresolution
Gesichtsmodellierung
Face Hallucination
Face Analysis
Face Modeling
bic Book Industry Communication::U Computing & information technology::UY Computer science
url 34223
work_keys_str_mv AT quchengchao facialtexturesuperresolutionbyfitting3dfacemodels