An End-to-end Framework for 3D Capture and Human Digitization with a Single RGB Camera

Silva, Luiz José Schirmer; Silva, Djalma S. da; Velho, Luiz; Lopes, Hélio

dc.contributor.author	Silva, Luiz José Schirmer	en_US
dc.contributor.author	Silva, Djalma S. da	en_US
dc.contributor.author	Velho, Luiz	en_US
dc.contributor.author	Lopes, Hélio	en_US
dc.contributor.editor	Ritschel, Tobias and Eilertsen, Gabriel	en_US
dc.date.accessioned	2020-05-24T13:40:46Z
dc.date.available	2020-05-24T13:40:46Z
dc.date.issued	2020
dc.identifier.isbn	978-3-03868-104-5
dc.identifier.issn	1017-4656
dc.identifier.uri	https://doi.org/10.2312/egp.20201034
dc.identifier.uri	https://diglib.eg.org:443/handle/10.2312/egp20201034
dc.description.abstract	We present a low cost and accessible end-to-end framework for 3D modeling and texture capture of Humans using deep neural networks and a single RGB camera. We generate a texture atlas considering a set of multi-view images. We also capture data to generate 3D shape models and finally combine it with the generated textures to obtain a full 3D reconstruction of the human body that can be used in a game engine.	en_US
dc.publisher	The Eurographics Association	en_US
dc.rights	Attribution 4.0 International License
dc.rights.uri	https://creativecommons.org/licenses/by/4.0/	]
dc.subject	I.3.3 [Computer Graphics]
dc.subject	Computer Vision/Texture Generation/ 3D modeling
dc.subject	Computer Animation
dc.title	An End-to-end Framework for 3D Capture and Human Digitization with a Single RGB Camera	en_US
dc.description.seriesinformation	Eurographics 2020 - Posters
dc.description.sectionheaders	Posters
dc.identifier.doi	10.2312/egp.20201034
dc.identifier.pages	1-2