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Layered acting for character animation

Authors:

Mira Dontcheva,

Zoran PopovićAuthors Info & Claims

ACM Transactions on Graphics (TOG), Volume 22, Issue 3

Pages 409 - 416

https://doi.org/10.1145/882262.882285

Published: 01 July 2003 Publication History

Abstract

We introduce an acting-based animation system for creating and editing character animation at interactive speeds. Our system requires minimal training, typically under an hour, and is well suited for rapidly prototyping and creating expressive motion. A real-time motion-capture framework records the user's motions for simultaneous analysis and playback on a large screen. The animator's real-world, expressive motions are mapped into the character's virtual world. Visual feedback maintains a tight coupling between the animator and character. Complex motion is created by layering multiple passes of acting. We also introduce a novel motion-editing technique, which derives implicit relationships between the animator and character. The animator mimics some aspect of the character motion, and the system infers the association between features of the animator's motion and those of the character. The animator modifies the mimic by acting again, and the system maps the changes onto the character. We demonstrate our system with several examples and present the results from informal user studies with expert and novice animators.

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PENG YZHAO CXIE HFUKUSATO TMIYATA KIGARASHI T(2023)DualMotion: Global-to-Local Casual Motion Design for Character AnimationsIEICE Transactions on Information and Systems10.1587/transinf.2022IIP0011E106.D:4(459-468)Online publication date: 1-Apr-2023
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cover image ACM Transactions on Graphics

ACM Transactions on Graphics Volume 22, Issue 3

July 2003

683 pages

ISSN:0730-0301

EISSN:1557-7368

DOI:10.1145/882262

Issue’s Table of Contents

Copyright © 2003 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 01 July 2003

Published in TOG Volume 22, Issue 3

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Cited By

PENG YZHAO CXIE HFUKUSATO TMIYATA KIGARASHI T(2023)DualMotion: Global-to-Local Casual Motion Design for Character AnimationsIEICE Transactions on Information and Systems10.1587/transinf.2022IIP0011E106.D:4(459-468)Online publication date: 1-Apr-2023
https://doi.org/10.1587/transinf.2022IIP0011
Jang DYe YWon JLee S(2023)MOCHA: Real-Time Motion Characterization via Context MatchingSIGGRAPH Asia 2023 Conference Papers10.1145/3610548.3618252(1-11)Online publication date: 10-Dec-2023
https://dl.acm.org/doi/10.1145/3610548.3618252
Starke SZhao YZinno FKomura T(2021)Neural animation layering for synthesizing martial arts movementsACM Transactions on Graphics10.1145/3476576.347665140:4(1-16)Online publication date: Aug-2021
https://doi.org/10.1145/3476576.3476651
Starke SZhao YZinno FKomura T(2021)Neural animation layering for synthesizing martial arts movementsACM Transactions on Graphics10.1145/3450626.345988140:4(1-16)Online publication date: 19-Jul-2021
https://dl.acm.org/doi/10.1145/3450626.3459881
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Nebeling MLewis KChang YZhu LChung MWang PNebeling JBernhaupt RMueller FVerweij DAndres JMcGrenere JCockburn AAvellino IGoguey ABjørn PZhao SSamson BKocielnik R(2020)XRDirector: A Role-Based Collaborative Immersive Authoring SystemProceedings of the 2020 CHI Conference on Human Factors in Computing Systems10.1145/3313831.3376637(1-12)Online publication date: 21-Apr-2020
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