Article

Robust kinematic constraint detection for motion data

Authors:

Benoît Le Callennec,

Ronan BoulicAuthors Info & Claims

SCA '06: Proceedings of the 2006 ACM SIGGRAPH/Eurographics symposium on Computer animation

Pages 281 - 290

Published: 02 September 2006 Publication History

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Abstract

Motion capture data is now widely available to create realistic character animation. However, it is difficult to reuse without any additional information. For this reason, annotating motion data with kinematic constraints is a clever step to ease further operations such as blending or motion editing. Unfortunately, prior automatic methods prove to be unreliable for noisy data and/or lack genericity. In this paper, we present a method for detecting kinematic constraints for motion data. It detects when an object (or an end-effector) is stationary in space or is rotating around an axis or a point. Our method is fast, generic and may be used on any kind of objects in the scene. Furthermore, it is robust to highly noisy data as we detect and reject aberrant data by using a least median of squares (LMedS) method. We demonstrate the accuracy of our method in various motion editing contexts.

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Cited By

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Jiang YYe YGopinath DWon JWinkler ALiu C(2022)Transformer Inertial Poser: Real-time Human Motion Reconstruction from Sparse IMUs with Simultaneous Terrain GenerationSIGGRAPH Asia 2022 Conference Papers10.1145/3550469.3555428(1-9)Online publication date: 29-Nov-2022
https://dl.acm.org/doi/10.1145/3550469.3555428
Choi Bi Ribera RLewis JSeol YHong SEom HJung SNoh J(2016)SketchiMoACM Transactions on Graphics10.1145/2897824.292597035:4(1-12)Online publication date: 11-Jul-2016
https://dl.acm.org/doi/10.1145/2897824.2925970
Hoyet LRyall KZibrek KPark HLee JHodgins JO'Sullivan C(2013)Evaluating the distinctiveness and attractiveness of human motions on realistic virtual bodiesACM Transactions on Graphics10.1145/2508363.250836732:6(1-11)Online publication date: 1-Nov-2013
https://dl.acm.org/doi/10.1145/2508363.2508367
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Index Terms

Robust kinematic constraint detection for motion data
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Image and video acquisition
        3D imaging
  2. Computer graphics
    1. Animation

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Published In

SCA '06: Proceedings of the 2006 ACM SIGGRAPH/Eurographics symposium on Computer animation

September 2006

370 pages

ISBN:3905673347

General Chairs:
Carol O'Sullivan
Trinity College Dublin, Ireland
,
Fred Pighin
Industrial Light and Magic, USA

Publisher

Eurographics Association

Goslar, Germany

Publication History

Published: 02 September 2006

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SCA06

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SIGGRAPH
EUROGRAPHICS

SCA06: The ACM SIGGRAPH / Eurographics Symposium on Computer Animation

September 2 - 4, 2006

Vienna, Austria

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Overall Acceptance Rate 183 of 487 submissions, 38%

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Jiang YYe YGopinath DWon JWinkler ALiu C(2022)Transformer Inertial Poser: Real-time Human Motion Reconstruction from Sparse IMUs with Simultaneous Terrain GenerationSIGGRAPH Asia 2022 Conference Papers10.1145/3550469.3555428(1-9)Online publication date: 29-Nov-2022
https://dl.acm.org/doi/10.1145/3550469.3555428
Choi Bi Ribera RLewis JSeol YHong SEom HJung SNoh J(2016)SketchiMoACM Transactions on Graphics10.1145/2897824.292597035:4(1-12)Online publication date: 11-Jul-2016
https://dl.acm.org/doi/10.1145/2897824.2925970
Hoyet LRyall KZibrek KPark HLee JHodgins JO'Sullivan C(2013)Evaluating the distinctiveness and attractiveness of human motions on realistic virtual bodiesACM Transactions on Graphics10.1145/2508363.250836732:6(1-11)Online publication date: 1-Nov-2013
https://dl.acm.org/doi/10.1145/2508363.2508367
Pražák MHoyet LO'Sullivan CLiu KBridson RBargteil Avan de Panne M(2011)Perceptual evaluation of footskate cleanupProceedings of the 2011 ACM SIGGRAPH/Eurographics Symposium on Computer Animation10.1145/2019406.2019444(287-294)Online publication date: 5-Aug-2011
https://dl.acm.org/doi/10.1145/2019406.2019444
Coleman PBibliowicz JSingh KGleicher MFiume ETessendorf JGross MJames D(2008)Staggered posesProceedings of the 2008 ACM SIGGRAPH/Eurographics Symposium on Computer Animation10.5555/1632592.1632612(137-146)Online publication date: 7-Jul-2008
https://dl.acm.org/doi/10.5555/1632592.1632612
Zhao LSafonova AFiume ETessendorf JGross MJames D(2008)Achieving good connectivity in motion graphsProceedings of the 2008 ACM SIGGRAPH/Eurographics Symposium on Computer Animation10.5555/1632592.1632611(127-136)Online publication date: 7-Jul-2008
https://dl.acm.org/doi/10.5555/1632592.1632611
Pighin FLewis JMcMains SSloan P(2007)Practical least-squares for computer graphicsACM SIGGRAPH 2007 courses10.1145/1281500.1281598(1-57)Online publication date: 5-Aug-2007
https://dl.acm.org/doi/10.1145/1281500.1281598
Safonova AHodgins J(2007)Construction and optimal search of interpolated motion graphsACM Transactions on Graphics10.1145/1276377.127651026:3(106-es)Online publication date: 29-Jul-2007
https://dl.acm.org/doi/10.1145/1276377.1276510
Safonova AHodgins JLevoy M(2007)Construction and optimal search of interpolated motion graphsACM SIGGRAPH 2007 papers10.1145/1275808.1276510(106-es)Online publication date: 5-Aug-2007
https://dl.acm.org/doi/10.1145/1275808.1276510
Ikemoto LArikan OForsyth DGooch BSloan PCohen JTurk GWatson B(2007)Quick transitions with cached multi-way blendsProceedings of the 2007 symposium on Interactive 3D graphics and games10.1145/1230100.1230125(145-151)Online publication date: 30-Apr-2007
https://dl.acm.org/doi/10.1145/1230100.1230125

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Kinematic inbetweening for motion animation

Robust stereo motion and structure estimation scheme

Robust Reweighted MAP Motion Estimation

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