Enhanced Reconstruction of Interacting Hands for Immersive Embodiment

  • Yu Miao
  • , Yu Han
  • , Yi Xiao
  • , Yue Liu*
  • *Corresponding author for this work

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

Abstract

Interacting hands reconstruction serves as a channel for natural user engagement in virtual reality, providing realistic embodiment that markedly elevates the immersive experiences. However, accurate prediction of the spatial relations between two hands remains challenging due to the severe occlusion and homogeneous appearance of hands. This paper presents a spatial relationship refinement method for hand reconstruction, employing a module to yield the 3D relative translation between hands and a novel loss function to limit hand mesh penetration. Our method achieves state-of-the-art performance on the InterHand2.6M dataset, offering considerable potential for interacting hands reconstruction in enhancing embodiment for virtual reality.

Original languageEnglish
Title of host publicationProceedings - 2024 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages677-678
Number of pages2
ISBN (Electronic)9798350374490
DOIs
Publication statusPublished - 2024
Event2024 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2024 - Orlando, United States
Duration: 16 Mar 202421 Mar 2024

Publication series

NameProceedings - 2024 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2024

Conference

Conference2024 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2024
Country/TerritoryUnited States
CityOrlando
Period16/03/2421/03/24

Keywords

  • Artificial intelligence
  • Computer vision
  • Computing methodologies
  • Reconstruction

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