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Motion signal processing

Bruderlin, Armin, Williams, Lance·1995·Proceedings of the 22nd annual conference on Computer graphics and interactive techniques - SIGGRAPH '95

Abstract

Techniques from the image and signal processing domain can be successfully applied to designing, modifying, and adapting animated motion. For this purpose, we introduce multiresolution motion filtering, multitarget motion interpolation with dynamic timewarping, waveshaping and motion displacement mapping. The techniques are well-suited for reuse and adaptation of existing motion data such as joint angles, joint coordinates or higher level motion parameters of articulated figures with many degrees of freedom. Existing motions can be modified and combined interactively and at a higher level of abstraction than conventional systems support. This general approach is thus complementary to keyframing, motion capture, and procedural animation.

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Metadata

Authors
Bruderlin, A., & Williams, L.
Venue
Proceedings of the 22nd annual conference on Computer graphics and interactive techniques - SIGGRAPH '95
Publisher
ACM Press
Published
1995
Pages
97-104
OpenAlex
W2083382040
Cited by
666
References
0
FWCI
40.86
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Motion signal processing. https://app.cochat.ai/papers/10.1145/218380.218421
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Bruderlin, A., & Williams, L. (1995). Motion signal processing. Proceedings of the 22nd annual conference on Computer graphics and interactive techniques - SIGGRAPH '95. https://doi.org/10.1145/218380.218421

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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