date: 2021-06-29T05:53:07Z pdf:PDFVersion: 1.5 pdf:docinfo:title: XNect: Real-time Multi-Person 3D Motion Capture with a Single RGB Camera xmp:CreatorTool: LaTeX with acmart 2019/12/18 v1.66 Typesetting articles for the Association for Computing Machinery and hyperref 2019/06/12 v6.88h Hypertext links for LaTeX access_permission:can_print_degraded: true subject: - Computing methodologies -> Motion capture.Computer vision.Neural networks. language: en dc:format: application/pdf; version=1.5 pdf:docinfo:creator_tool: LaTeX with acmart 2019/12/18 v1.66 Typesetting articles for the Association for Computing Machinery and hyperref 2019/06/12 v6.88h Hypertext links for LaTeX access_permission:fill_in_form: true pdf:encrypted: false dc:title: XNect: Real-time Multi-Person 3D Motion Capture with a Single RGB Camera modified: 2021-06-29T05:53:07Z cp:subject: - Computing methodologies -> Motion capture.Computer vision.Neural networks. pdf:docinfo:subject: - Computing methodologies -> Motion capture.Computer vision.Neural networks. pdf:docinfo:creator: Dushyant Mehta1,2, Oleksandr Sotnychenko1,2, Franziska Mueller1,2, Weipeng Xu1,2, Mohamed Elgharib1,2, Pascal Fua3, Hans-Peter Seidel1,2, Helge Rhodin3,4, Gerard Pons-Moll1,2, Christian Theobalt1,2 PTEX.Fullbanner: This is MiKTeX-pdfTeX 2.9.7029 (1.40.20) meta:author: Dushyant Mehta1 trapped: False meta:creation-date: 2020-04-30T10:08:53Z created: 2020-04-30T10:08:53Z access_permission:extract_for_accessibility: true Creation-Date: 2020-04-30T10:08:53Z Author: Dushyant Mehta1 producer: MiKTeX pdfTeX-1.40.20 pdf:docinfo:producer: MiKTeX pdfTeX-1.40.20 pdf:unmappedUnicodeCharsPerPage: 0 dc:description: - Computing methodologies -> Motion capture.Computer vision.Neural networks. Keywords: human body pose, motion capture, real-time, monocular, RGB access_permission:modify_annotations: true dc:creator: Dushyant Mehta1 description: - Computing methodologies -> Motion capture.Computer vision.Neural networks. dcterms:created: 2020-04-30T10:08:53Z Last-Modified: 2021-06-29T05:53:07Z dcterms:modified: 2021-06-29T05:53:07Z title: XNect: Real-time Multi-Person 3D Motion Capture with a Single RGB Camera xmpMM:DocumentID: uuid:0a0aed82-747c-42ae-87f0-eb41d715873c Last-Save-Date: 2021-06-29T05:53:07Z pdf:docinfo:keywords: human body pose, motion capture, real-time, monocular, RGB pdf:docinfo:modified: 2021-06-29T05:53:07Z meta:save-date: 2021-06-29T05:53:07Z pdf:docinfo:custom:PTEX.Fullbanner: This is MiKTeX-pdfTeX 2.9.7029 (1.40.20) Content-Type: application/pdf X-Parsed-By: org.apache.tika.parser.DefaultParser creator: Dushyant Mehta1 dc:language: en dc:subject: human body pose, motion capture, real-time, monocular, RGB access_permission:assemble_document: true xmpTPg:NPages: 17 pdf:charsPerPage: 3965 access_permission:extract_content: true access_permission:can_print: true pdf:docinfo:trapped: False meta:keyword: human body pose, motion capture, real-time, monocular, RGB access_permission:can_modify: true pdf:docinfo:created: 2020-04-30T10:08:53Z