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Meshless modeling of deformable shapes and their motion

Published: 07 July 2008 Publication History

Abstract

We present a new framework for interactive shape deformation modeling and key frame interpolation based on a meshless finite element formulation. Starting from a coarse nodal sampling of an object's volume, we formulate rigidity and volume preservation constraints that are enforced to yield realistic shape deformations at interactive frame rates. Additionally, by specifying key frame poses of the deforming shape and optimizing the nodal displacements while targeting smooth interpolated motion, our algorithm extends to a motion planning framework for deformable objects. This allows reconstructing smooth and plausible deformable shape trajectories in the presence of possibly moving obstacles. The presented results illustrate that our framework can handle complex shapes at interactive rates and hence is a valuable tool for animators to realistically and efficiently model and interpolate deforming 3D shapes.

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Cited By

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  • (2022)Reduced representation of deformation fields for effective non-rigid shape matchingProceedings of the 36th International Conference on Neural Information Processing Systems10.5555/3600270.3601026(10405-10420)Online publication date: 28-Nov-2022
  • (2019)Functional Characterization of Deformation FieldsACM Transactions on Graphics10.1145/329248038:1(1-19)Online publication date: 24-Jan-2019
  • (2016)Detail-Preserving Mesh Unfolding for Nonrigid Shape RetrievalACM Transactions on Graphics10.1145/289347735:3(1-11)Online publication date: 20-May-2016
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cover image ACM Conferences
SCA '08: Proceedings of the 2008 ACM SIGGRAPH/Eurographics Symposium on Computer Animation
July 2008
230 pages
ISBN:9783905674101

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Eurographics Association

Goslar, Germany

Publication History

Published: 07 July 2008

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SCA '08 Paper Acceptance Rate 24 of 60 submissions, 40%;
Overall Acceptance Rate 183 of 487 submissions, 38%

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View all
  • (2022)Reduced representation of deformation fields for effective non-rigid shape matchingProceedings of the 36th International Conference on Neural Information Processing Systems10.5555/3600270.3601026(10405-10420)Online publication date: 28-Nov-2022
  • (2019)Functional Characterization of Deformation FieldsACM Transactions on Graphics10.1145/329248038:1(1-19)Online publication date: 24-Jan-2019
  • (2016)Detail-Preserving Mesh Unfolding for Nonrigid Shape RetrievalACM Transactions on Graphics10.1145/289347735:3(1-11)Online publication date: 20-May-2016
  • (2015)Fast as-isometric-as-possible shape interpolationComputers and Graphics10.1016/j.cag.2014.09.00546:C(244-256)Online publication date: 1-Feb-2015
  • (2014)Provably good planar mappingsACM Transactions on Graphics10.1145/2601097.260112333:4(1-11)Online publication date: 27-Jul-2014
  • (2013)Locally injective mappingsProceedings of the Eleventh Eurographics/ACMSIGGRAPH Symposium on Geometry Processing10.1111/cgf.12179(125-135)Online publication date: 3-Jul-2013
  • (2013)Modeling and Simulation of Soft Tissue DeformationProceedings of the 5th International Workshop on Abdominal Imaging. Computation and Clinical Applications - Volume 819810.1007/978-3-642-41083-3_25(221-230)Online publication date: 22-Sep-2013
  • (2012)Time-Discrete Geodesics in the Space of ShellsComputer Graphics Forum10.1111/j.1467-8659.2012.03180.x31:5(1755-1764)Online publication date: 1-Aug-2012
  • (2011)Pattern-aware shape deformation using sliding dockersACM Transactions on Graphics10.1145/2070781.202415730:6(1-10)Online publication date: 12-Dec-2011
  • (2011)Pattern-aware shape deformation using sliding dockersProceedings of the 2011 SIGGRAPH Asia Conference10.1145/2024156.2024157(1-10)Online publication date: 12-Dec-2011
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