Article

Spatial keyframing for performance-driven animation

Authors:

J. F. HughesAuthors Info & Claims

SCA '05: Proceedings of the 2005 ACM SIGGRAPH/Eurographics symposium on Computer animation

Pages 107 - 115

https://doi.org/10.1145/1073368.1073383

Published: 29 July 2005 Publication History

Abstract

This paper introduces spatial keyframing, a technique for performance-driven character animation. In traditional temporal keyframing, key poses are defined at specific points in time: i.e., we define a map from a set key times to the configuration space of the character and then extend this map to the entire timeline by interpolation. By contrast, in spatial keyframing key poses are defined at specific key positions in a 3D space where the character lives; the mapping from the 3D space to the configuration space is again defined by interpolation. The user controls a character by adjusting the position of a control cursor in the 3D space; the pose of the character is given as a blend of nearby key poses. The user thus can make expressive motion in real time and the resulting motion can be recorded and interpreted as an animation sequence. Although similar ideas are present in previous systems, our system is unique in that the designer can quickly design a new set of keyframes from scratch, and make an animation without motion capture data or special input devices. Our technique is especially useful for imaginary characters other than human figures because we do not rely on motion-capture data. We also introduce several applications of the basic idea and give examples showing the expressiveness of the approach.

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Albakri IWafiy NSuaib NRahim MYu H(2020)3D Keyframe Motion Extraction from Zapin Traditional Dance VideosComputational Science and Technology10.1007/978-981-15-0058-9_7(65-74)Online publication date: 2020
https://doi.org/10.1007/978-981-15-0058-9_7
Costa BEsperança C(2020)Motion Capture Analysis and Reconstruction Using Spatial KeyframesComputer Vision, Imaging and Computer Graphics Theory and Applications10.1007/978-3-030-41590-7_3(48-70)Online publication date: 20-Feb-2020
https://doi.org/10.1007/978-3-030-41590-7_3
Yu MKwon BKim JKang SJang H(2019)Fast Terrain-Adaptive Motion Generation using Deep Neural NetworksSIGGRAPH Asia 2019 Technical Briefs10.1145/3355088.3365157(57-60)Online publication date: 17-Nov-2019
https://dl.acm.org/doi/10.1145/3355088.3365157
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Spatial keyframing for performance-driven animation
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Image and video acquisition
  2. Computer graphics

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Published In

cover image ACM Conferences

SCA '05: Proceedings of the 2005 ACM SIGGRAPH/Eurographics symposium on Computer animation

July 2005

366 pages

ISBN:1595931988

DOI:10.1145/1073368

Conference Chairs:
Demetri Terzopoulos
New York University, USA
,
Victor Brian Zordan
University of California at Riverside, USA
,
Program Chairs:
Ken Anjyo
OLM Digital, Inc., Japan
,
Petros Faloutsos
University of California at Los Angeles, USA

Copyright © 2005 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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SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
EUROGRAPHICS: The European Association for Computer Graphics

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 29 July 2005

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SCA05: Symposium on Computer Animation

July 29 - 31, 2005

California, Los Angeles

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Overall Acceptance Rate 183 of 487 submissions, 38%

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Cited By

Albakri IWafiy NSuaib NRahim MYu H(2020)3D Keyframe Motion Extraction from Zapin Traditional Dance VideosComputational Science and Technology10.1007/978-981-15-0058-9_7(65-74)Online publication date: 2020
https://doi.org/10.1007/978-981-15-0058-9_7
Costa BEsperança C(2020)Motion Capture Analysis and Reconstruction Using Spatial KeyframesComputer Vision, Imaging and Computer Graphics Theory and Applications10.1007/978-3-030-41590-7_3(48-70)Online publication date: 20-Feb-2020
https://doi.org/10.1007/978-3-030-41590-7_3
Yu MKwon BKim JKang SJang H(2019)Fast Terrain-Adaptive Motion Generation using Deep Neural NetworksSIGGRAPH Asia 2019 Technical Briefs10.1145/3355088.3365157(57-60)Online publication date: 17-Nov-2019
https://dl.acm.org/doi/10.1145/3355088.3365157
Lamberti FParavati GGatteschi VCannavo AMontuschi P(2018)Virtual Character Animation Based on Affordable Motion Capture and Reconfigurable Tangible InterfacesIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2017.269043324:5(1742-1755)Online publication date: 1-May-2018
https://doi.org/10.1109/TVCG.2017.2690433
Ciccone LGuay MNitti MSumner RTeran JZheng CThomaszewski BYin K(2017)Authoring motion cyclesProceedings of the ACM SIGGRAPH / Eurographics Symposium on Computer Animation10.1145/3099564.3099570(1-9)Online publication date: 28-Jul-2017
https://dl.acm.org/doi/10.1145/3099564.3099570
Huang YZhou TLi YZhang YMa C(2017)Interactive Animation Editing Based on Sketch InteractionChallenges and Opportunity with Big Data10.1007/978-3-319-61994-1_8(77-86)Online publication date: 4-Aug-2017
https://doi.org/10.1007/978-3-319-61994-1_8
Sarinastiti WSusanto DMutammimah R(2016)Skill level animation technique on dental care motion graphic for children2016 International Electronics Symposium (IES)10.1109/ELECSYM.2016.7861037(389-394)Online publication date: Sep-2016
https://doi.org/10.1109/ELECSYM.2016.7861037
Fukusato TMorishima S(2016)Active Comicing for Freehand Drawing AnimationMathematical Progress in Expressive Image Synthesis III10.1007/978-981-10-1076-7_6(45-56)Online publication date: 22-May-2016
https://doi.org/10.1007/978-981-10-1076-7_6
Peng YSu CHeidrich W(2016)21-2: Exploring 3D Interactive Performance Animation for VR/AR Applications Using Low-cost Motion CaptureSID Symposium Digest of Technical Papers10.1002/sdtp.1065347:1(251-254)Online publication date: 25-May-2016
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Oshita MOshima HSenju YMorishige S(2016)Character motion synthesis by principal component analysis and motion control interface by handsComputer Animation and Virtual Worlds10.1002/cav.167327:6(532-545)Online publication date: 1-Nov-2016
https://dl.acm.org/doi/10.1002/cav.1673
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