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Real-time animation and motion retargeting of virtual characters based on single RGB-D camera

  • Ning Kang
  • , Junxuan Bai
  • , Junjun Pan
  • , Hong Qin
  • Beihang University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Scopus citations

Abstract

The rapid generation and flexible reuse of characters animation by commodity devices are of significant importance to rich digital content production in virtual reality. This paper aims to handle the challenges of current motion imitation for human body in several indoor scenes (e.g., fitness training). We develop a real-time system based on single Kinect device, which is able to capture stable human motions and retarget to virtual characters. A large variety of motions and characters are tested to validate the efficiency and effectiveness of our system.

Original languageEnglish
Title of host publication26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1006-1007
Number of pages2
ISBN (Electronic)9781728113777
DOIs
StatePublished - Mar 2019
Event26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019 - Osaka, Japan
Duration: Mar 23 2019Mar 27 2019

Publication series

Name26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019 - Proceedings

Conference

Conference26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019
Country/TerritoryJapan
CityOsaka
Period03/23/1903/27/19

Keywords

  • Adaptive filter
  • Character animation
  • Inverse kinematics
  • Motion capture
  • Retargeting
  • Rgb-d camera

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