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Elasticity-Inspired Deformers for Character Articulation

Ladislav Kavan, Olga Sorkine-Hornung

SIGGRAPH AsiaAcademic123 citesSkinning

Optimizes LBS and DQS weights to minimize elastic energy, yielding deformations that mimic nonlinear simulation quality.

Abstract

Current approaches to skeletally-controlled character articulation range from real-time, closed-form skinning methods to offline, physically-based simulation. In this paper, we seek a closed-form skinning method that approximates nonlinear elastic deformations well while remaining very fast. Our contribution is two-fold: (1) we optimize skinning weights for the standard linear and dual quaternion skinning techniques so that the resulting deformations minimize an elastic energy function. We observe that this is not sufficient to match the visual quality of the original elastic deformations and therefore, we develop (2) a new skinning method based on the concept of joint-based deformers . We propose a specific deformer which is visually similar to nonlinear variational deformation methods. Our final algorithm is fully automatic and requires little or no input from the user other than a rest-pose mesh and a skeleton. The runtime complexity requires minimal memory and computational overheads compared to linear blend skinning, while producing higher quality deformations than both linear and dual quaternion skinning.

How to read this

Category
Method: a skinning algorithm approximating elastic deformation
Contributions
  • Optimizes linear-blend and dual-quaternion skinning weights so deformations minimize an elastic energy
  • Introduces a joint-based deformer that visually approximates nonlinear variational deformation methods
  • Fully automatic from a rest-pose mesh and skeleton, with memory and runtime overhead close to linear blend skinning
Context
Builds on dual-quaternion skinning (Kavan et al.) and closed-form skinning broadly, seeking to close the quality gap toward offline physically-based elastic simulation.Builds on: Skinning with Dual Quaternions
Correctness
The authors themselves note that merely optimizing LBS/DQS weights does not match elastic quality, which motivates the new deformer; the trade-off is an approximation of nonlinear elasticity, so it should be read as a fast closed-form stand-in, not a substitute for full simulation.
Clarity
Accessible and well-scoped; a first pass conveys both contributions, a second pass is needed for the energy optimization and deformer construction.
How to read it
First pass to understand the two contributions and why weight optimization alone falls short; second pass on the joint-based deformer formulation if you need real-time quality near simulation.

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