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2020 | OriginalPaper | Chapter

Locality-Aware Skinning Decomposition Using Model-Dependent Mesh Clustering

Authors : Fumiya Narita, Tomohiko Mukai

Published in: Advances in Computer Graphics

Publisher: Springer International Publishing

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Abstract

Skinning decomposition is a popular technique to approximate a vertex animation for memory-efficient playback of complex shape deformation in real-time applications. However, conventional methods have several practical limitations related to computational performance and animation quality. We propose a skinning decomposition method that takes the locality of the skin weight into consideration. Our main idea is to decompose a skin mesh into multiple clusters and estimate the skin weight in each cluster to achieve local weight distribution with compact support. Our framework provides two types of mesh clustering algorithms for enhancing approximation accuracy. We also propose a frame-reduction algorithm for efficient computation. The experimental results indicate that our locality-aware approach produces a highly accurate approximation while significantly reducing the computation time.

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Metadata
Title
Locality-Aware Skinning Decomposition Using Model-Dependent Mesh Clustering
Authors
Fumiya Narita
Tomohiko Mukai
Copyright Year
2020
DOI
https://doi.org/10.1007/978-3-030-61864-3_5

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