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A physically-based motion retargeting filter

Authors:

Hyeong-Seok KoAuthors Info & Claims

ACM Transactions on Graphics (TOG), Volume 24, Issue 1

Pages 98 - 117

https://doi.org/10.1145/1037957.1037963

Published: 01 January 2005 Publication History

Abstract

This article presents a novel constraint-based motion editing technique. On the basis of animator-specified kinematic and dynamic constraints, the method converts a given captured or animated motion to a physically plausible motion. In contrast to previous methods using spacetime optimization, we cast the motion editing problem as a constrained state estimation problem, based on the per-frame Kalman filter framework. The method works as a filter that sequentially scans the input motion to produce a stream of output motion frames at a stable interactive rate. Animators can tune several filter parameters to adjust to different motions, turn the constraints on or off based on their contributions to the final result, or provide a rough sketch (kinematic hint) as an effective way of producing the desired motion. Experiments on various systems show that the technique processes the motions of a human with 54 degrees of freedom, at about 150 fps when only kinematic constraints are applied, and at about 10 fps when both kinematic and dynamic constraints are applied. Experiments on various types of motion show that the proposed method produces remarkably realistic animations.

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Cited By

Jang IChoi SHong SKim CNoh J(2024)Geometry-Aware Retargeting for Two-Skinned Characters InteractionACM Transactions on Graphics10.1145/368796243:6(1-17)Online publication date: 19-Dec-2024
https://dl.acm.org/doi/10.1145/3687962
Zhao QLi PYifan WOlga SWetzstein GKry PCani MSkouras MWang H(2024)Pose-to-Motion: Cross-Domain Motion Retargeting with Pose PriorProceedings of the ACM SIGGRAPH/Eurographics Symposium on Computer Animation10.1111/cgf.15170(1-10)Online publication date: 21-Aug-2024
https://dl.acm.org/doi/10.1111/cgf.15170
Hu LZhang ZZhong CJiang BXia S(2024)Pose-Aware Attention Network for Flexible Motion Retargeting by Body PartIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.327791830:8(4792-4808)Online publication date: 1-Aug-2024
https://dl.acm.org/doi/10.1109/TVCG.2023.3277918
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Index Terms

A physically-based motion retargeting filter
1. Computing methodologies
  1. Artificial intelligence
    1. Control methods
      1. Motion path planning
  2. Computer graphics
    1. Animation

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Published In

cover image ACM Transactions on Graphics

ACM Transactions on Graphics Volume 24, Issue 1

January 2005

179 pages

ISSN:0730-0301

EISSN:1557-7368

DOI:10.1145/1037957

Issue’s Table of Contents

Copyright © 2005 ACM.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 January 2005

Published in TOG Volume 24, Issue 1

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Cited By

Jang IChoi SHong SKim CNoh J(2024)Geometry-Aware Retargeting for Two-Skinned Characters InteractionACM Transactions on Graphics10.1145/368796243:6(1-17)Online publication date: 19-Dec-2024
https://dl.acm.org/doi/10.1145/3687962
Zhao QLi PYifan WOlga SWetzstein GKry PCani MSkouras MWang H(2024)Pose-to-Motion: Cross-Domain Motion Retargeting with Pose PriorProceedings of the ACM SIGGRAPH/Eurographics Symposium on Computer Animation10.1111/cgf.15170(1-10)Online publication date: 21-Aug-2024
https://dl.acm.org/doi/10.1111/cgf.15170
Hu LZhang ZZhong CJiang BXia S(2024)Pose-Aware Attention Network for Flexible Motion Retargeting by Body PartIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.327791830:8(4792-4808)Online publication date: 1-Aug-2024
https://dl.acm.org/doi/10.1109/TVCG.2023.3277918
Zhang JTu ZWeng JYuan JDu B(2024)A Modular Neural Motion Retargeting System Decoupling Skeleton and Shape PerceptionIEEE Transactions on Pattern Analysis and Machine Intelligence10.1109/TPAMI.2024.338677746:10(6889-6904)Online publication date: 1-Oct-2024
https://dl.acm.org/doi/10.1109/TPAMI.2024.3386777
Zhou LLannan NFan G(2024)A Review of Depth-Based Human Motion Enhancement: Past and PresentIEEE Journal of Biomedical and Health Informatics10.1109/JBHI.2023.325766228:2(633-644)Online publication date: Mar-2024
https://doi.org/10.1109/JBHI.2023.3257662
Li BHo EShum HWang H(2024)Two-Person Interaction Augmentation with Skeleton Priors2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)10.1109/CVPRW63382.2024.00196(1900-1910)Online publication date: 17-Jun-2024
https://doi.org/10.1109/CVPRW63382.2024.00196
Rekik RMarsot MOlivier AFranco JWuhrer S(2024)Correspondence-Free Online Human Motion Retargeting2024 International Conference on 3D Vision (3DV)10.1109/3DV62453.2024.00032(707-716)Online publication date: 18-Mar-2024
https://doi.org/10.1109/3DV62453.2024.00032
Martinelli GGarau NBisagno NConci N(2024)MoMa: Skinned motion retargeting using masked pose modelingComputer Vision and Image Understanding10.1016/j.cviu.2024.104141(104141)Online publication date: Oct-2024
https://doi.org/10.1016/j.cviu.2024.104141
Ami-Williams TSerghides CAristidou A(2024)Digitizing traditional dances under extreme clothing: The case study of EyoJournal of Cultural Heritage10.1016/j.culher.2024.02.01167(145-157)Online publication date: May-2024
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Huang XKanai T(2023)Video-Based Motion Retargeting Framework between Characters with Various Skeleton StructureProceedings of the 16th ACM SIGGRAPH Conference on Motion, Interaction and Games10.1145/3623264.3624473(1-6)Online publication date: 15-Nov-2023
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