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Building efficient, accurate character skins from examples

Mohr, Alex, Gleicher, Michael·2003·ACM Transactions on Graphics

Abstract

Good character animation requires convincing skin deformations including subtleties and details like muscle bulges. Such effects are typically created in commercial animation packages which provide very general and powerful tools. While these systems are convenient and flexible for artists, the generality often leads to characters that are slow to compute or that require a substantial amount of memory and thus cannot be used in interactive systems. Instead, interactive systems restrict artists to a specific character deformation model which is fast and memory efficient but is notoriously difficult to author and can suffer from many deformation artifacts. This paper presents an automated framework that allows character artists to use the full complement of tools in high-end systems to create characters for interactive systems. Our method starts with an arbitrarily rigged character in an animation system. A set of examples is exported, consisting of skeleton configurations paired with the deformed geometry as static meshes. Using these examples, we fit the parameters of a deformation model that best approximates the original data yet remains fast to compute and compact in memory.

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Metadata

Authors
Mohr, A., & Gleicher, M.
Venue
ACM Transactions on Graphics
Published
2003-07
Volume
22
Issue
3
Pages
562-568
ISSN
  • 0730-0301 (ISSN-L)
  • 1557-7368
OpenAlex
W2999456009
Cited by
190
References
0
FWCI
24.09
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Building efficient, accurate character skins from examples. https://app.cochat.ai/papers/10.1145/882262.882308
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Mohr, A., & Gleicher, M. (2003). Building efficient, accurate character skins from examples. ACM Transactions on Graphics. https://doi.org/10.1145/882262.882308

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.