publication . Article . Other literature type . 2019

Real‐time 3D human pose and motion reconstruction from monocular RGB videos

Yiannakides, Anastasios; Aristidou, Andreas; Chrysanthou, Yiorgos;
English
  • Published: 22 May 2019 Journal: Computer Animation and Virtual Worlds, volume 30, issue 3-4 (issn: 1546-4261, eissn: 1546-427X, Copyright policy)
Abstract
Real-time 3D pose estimation is of high interest in interactive applications, virtual reality, activity recognition, but most importantly, in the growing gaming industry. In this work, we present a method that captures and reconstructs the 3D skeletal pose and motion articulation of multiple characters using a monocular RGB camera. Our method deals with this challenging, but useful, task by taking advantage of the recent development in deep learning that allows 2D pose estimation of multiple characters, and the increasing availability of motion capture data. We fit 2D estimated poses, extracted from a single camera via OpenPose, with a 2D multi-view joint projec...
Subjects
ACM Computing Classification System: ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
free text keywords: Software, Computer Graphics and Computer-Aided Design, RGB color model, Artificial intelligence, business.industry, business, Computer graphics (images), Computer vision, Motion reconstruction, Computer science, Monocular
Funded by
EC| RISE
Project
RISE
Research Center on Interactive Media, Smart System and Emerging Technologies
  • Funder: European Commission (EC)
  • Project Code: 739578
  • Funding stream: H2020 | SGA-CSA
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publication . Article . Other literature type . 2019

Real‐time 3D human pose and motion reconstruction from monocular RGB videos

Yiannakides, Anastasios; Aristidou, Andreas; Chrysanthou, Yiorgos;