Facial Texture Super-Resolution by Fitting 3D Face Models

dc.creator	Qu, Chengchao
dc.date.accessioned	2021-02-22T19:45:17Z
dc.date.available	2021-02-22T19:45:17Z
dc.date.created	2018
dc.description.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.	spa
dc.format.extent	ix, 205 páginas	spa
dc.format.mimetype	application/pdf	spa
dc.identifier.doi	10.5445/KSP/1000085134
dc.identifier.isbn	9783731508281
dc.identifier.other	https://directory.doabooks.org/handle/20.500.12854/47311
dc.identifier.uri	https://hdl.handle.net/20.500.12010/17592
dc.language.iso	eng	spa
dc.publisher	KIT Scientific Publishing	spa
dc.rights.accessrights	info:eu-repo/semantics/openAccess	spa
dc.rights.creativecommons	https://creativecommons.org/licenses/by-sa/4.0/
dc.rights.local	Abierto (Texto Completo)	spa
dc.subject	Super-Resolution	spa
dc.subject	3D	spa
dc.subject	Gesichtsanalyse	spa
dc.subject.lemb	Impresión 3D	spa
dc.subject.lemb	Imágenes tridimensionales	spa
dc.subject.lemb	Sistemas de imágenes	spa
dc.title	Facial Texture Super-Resolution by Fitting 3D Face Models	spa
dc.type.coar	http://purl.org/coar/resource_type/c_2f33	spa

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