Auto Facial Rigging of Digital Humans Based on Normal Constrained Skinning Decomposition

Zhihe Zhao, Yongqing Cheng, Dongdong Weng*, Zeyu Tian

*Corresponding author for this work

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

Abstract

This paper proposes an improved auto facial rigging method based on normal constrained skinning decomposition, aiming to enhance the presentation of digital human characters in virtual reality (VR). Compared to traditional skinning decomposition-based rigging methods, our approach introduces normal constraints. The normal constraint is used to avoid the "wave-like surface"issue that occurs in existing rigging methods. Our approach is especially effective in VR applications as it greatly enhances the authenticity of digital human expression and user immersion. Experimental results demonstrate that our proposed method outperforms existing approaches in replicating input character expressions, both qualitatively and quantitatively, showcasing significant practical value.

Original languageEnglish
Title of host publicationProceedings - 2024 IEEE International Symposium on Mixed and Augmented Reality Adjunct, ISMAR-Adjunct 2024
EditorsUlrich Eck, Misha Sra, Jeanine Stefanucci, Maki Sugimoto, Markus Tatzgern, Ian Williams
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages331-332
Number of pages2
ISBN (Electronic)9798331506919
DOIs
Publication statusPublished - 2024
Event2024 IEEE International Symposium on Mixed and Augmented Reality Adjunct, ISMAR-Adjunct 2024 - Seattle, United States
Duration: 21 Oct 202425 Oct 2024

Publication series

NameProceedings - 2024 IEEE International Symposium on Mixed and Augmented Reality Adjunct, ISMAR-Adjunct 2024

Conference

Conference2024 IEEE International Symposium on Mixed and Augmented Reality Adjunct, ISMAR-Adjunct 2024
Country/TerritoryUnited States
CitySeattle
Period21/10/2425/10/24

Keywords

  • Auto rigging
  • digital human
  • normal constrained.
  • skinning decomposition

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