Proceedings Article10.1145/1666778.1666833
Example based skinning with progressively optimized support joints
Kentaro Yamanaka,Akane Yano,Shigeo Morishima +2 more
- 16 Dec 2009
- pp 55
4
TL;DR: In this article, the skeleton-subspace deformation (SSD) method is used to generate plausible animation efficiently, which is the most popular method for articulated character animation, often causes some artifacts.
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Abstract: Skeleton-Subspace Deformation (SSD), which is the most popular method for articulated character animation, often causes some artifacts. Animators have to edit mesh each time, which is seriously tedious and time-consuming. So example based skinning has been proposed. It employs edited mesh as target poses and generates plausible animation efficiently. In this technique, character mesh should be deformed to accurately fit target poses. Mohr et al. [2003] introduced additional joints. They expect animators to embed skeleton precisely.
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Citations
A natural and synthetic corpus for benchmarking of hand gesture recognition systems
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- 01 May 2014
TL;DR: A dataset for the evaluation of hand gesture recognition approaches in human–computer interaction scenarios, which exceeds in terms of representativity and scalability the datasets existing in the State Of Art and proposes a simple method for the synthetic generation of depth images of gestures.
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Training-Free Method for Generating Motion Video Clones From A Still Image Considering Self-Occlusion of Human Body
Teppei Tsutsumi,Kazuaki Nakamura,Seiko Myojin,Naoko Nitta,Noboru Babaguchi +4 more
- 01 Sep 2019
TL;DR: A method for generating photo-realistic video in which a person virtually performs a motion that is not performed in the real world, and generates much visually-natural MVCs than existing methods.
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•Proceedings Article
Example-based deformation with support joints
Kentaro Yamanaka,Akane Yano,Shigeo Morishima +2 more
- 01 Dec 2011
TL;DR: An examplebased skinning method to be combined with Pose Space Deformation (PSD), which optimizes transformation matrices in Skeleton Subspace deformation (SSD) introducing “support joints”.
Anisotropic 3D texture synthesis with application to volume rendering
Lasse Farnung Laursen,Bjarne Kjær Ersbøll,Jakob Andreas Bærentzen +2 more
- 01 Jan 2011
TL;DR: Two of the possible techniques in three-dimensional shape descriptor construction based on Fourier analysis are examined, and to find a descriptor that is able to not only classify, but also identify objects is examined.
References
Pose space deformation: a unified approach to shape interpolation and skeleton-driven deformation
John P. Lewis,Matt Cordner,Nickson Fong +2 more
- 01 Jul 2000
TL;DR: Pose space deformation generalizes and improves upon both shape interpolation and common skeleton-driven deformation techniques and achieves improved expressive power and direct manipulation of the desired shapes yet the performance associated with traditionalshape interpolation is achievable.
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Building efficient, accurate character skins from examples
MohrAlex,GleicherMichael +1 more
TL;DR: A comparison study of how facial deformations in animation changed over time changed from being smooth to bumpy to more bumpy in the Disney Pixar film The Incredibles.
Topology matching for fully automatic similarity estimation of 3D shapes
Masaki Hilaga,Yoshihisa Shinagawa,Taku Kohmura,Tosiyasu L. Kunii +3 more
- 01 Aug 2001
TL;DR: A novel technique is proposed, called Topology Matching, in which similarity between polyhedral models is quickly, accurately, and automatically calculated by comparing Multiresolutional Reeb Graphs (MRGs), which operates well as a search key for 3D shape data sets.
Building efficient, accurate character skins from examples
Alex Mohr,Michael Gleicher +1 more
- 01 Jul 2003
TL;DR: An automated framework is presented that allows character artists to use the full complement of tools in high-end systems to create characters for interactive systems and fits the parameters of a deformation model that best approximates the original data yet remains fast to compute and compact in memory.