Multi-character Motion Retargeting for Large-Scale Transformations

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Abstract

Unlike single-character motion retargeting, multi-character motion retargeting (MCMR) algorithms should be able to retarget each character’s motion correcly while maintaining the interaction between them. Existing MCMR solutions mainly focus on small scale changes between interacting characters. However, many retargeting applications require large-scale transformations. In this paper, we propose a new algorithm for large-scale MCMR. We build on the idea of interaction meshes, which are structures representing the spatial relationship among characters. We introduce a new distance-based interaction mesh that embodies the relationship between characters more accurately by prioritizing local connections over global ones. We also introduce a stiffness weight for each skeletal joint in our mesh deformation term, which defines how undesirable it is for the interaction mesh to deform around that joint. This parameter increases the adaptability of our algorithm for large-scale transformations and reduces optimization time considerably. We compare the performance of our algorithm with current state-of-the-art MCMR solution for several motion sequences under four different scenarios. Our results show that our method not only improves the quality of retargeting, but also significantly reduces computation time.

Original languageEnglish
Title of host publicationAdvances in Computer Graphics - 36th Computer Graphics International Conference, CGI 2019, Proceedings
Subtitle of host publicationAdvances in Computer Graphics
EditorsMarina Gavrilova, Jian Chang, Nadia Magnenat Thalmann, Nadia Magnenat Thalmann, Eckhard Hitzer, Hiroshi Ishikawa
PublisherSpringer Verlag
Pages94-106
Number of pages13
ISBN (Electronic)978-3-030-22514-8
ISBN (Print)978-3-030-22513-1
DOIs
Publication statusE-pub ahead of print - 12 Jun 2019
Event36th Computer Graphics International Conference, CGI 2019 - Calgary, Canada
Duration: 17 Jun 201920 Jun 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11542 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference36th Computer Graphics International Conference, CGI 2019
CountryCanada
CityCalgary
Period17/06/1920/06/19

Keywords

  • Character interaction
  • Computer animation
  • Joint stiffness
  • Mesh deformation
  • Motion retargeting
  • Space-time optimization

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Projects

Cite this

Naghizadeh, M., & Cosker, D. (2019). Multi-character Motion Retargeting for Large-Scale Transformations. In M. Gavrilova, J. Chang, N. M. Thalmann, N. M. Thalmann, E. Hitzer, & H. Ishikawa (Eds.), Advances in Computer Graphics - 36th Computer Graphics International Conference, CGI 2019, Proceedings: Advances in Computer Graphics (pp. 94-106). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11542 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-030-22514-8_8