Interactive animation systems often use a level-of-detail
(LOD) control to reduce the computational cost by eliminating
unperceivable details of the scene. Most methods
employ a multiresolutional representation of animation
and geometrical data, and adaptively change the accuracy
level according to the importance of each character.
Multilinear analysis provides the efficient representation of
multidimensional and multimodal data, including human
motion data, based on statistical data correlations. This
paper proposes a LOD control method of motion synthesis
with a multilinear model. Our method first extracts a
small number of principal components of motion samples
by analyzing three-mode correlations among joints, time,
and samples using high-order singular value decomposition.
A new motion is synthesized by interpolating
the reduced components using geostatistics, where the
prediction accuracy of the resulting motion is controlled
by adaptively decreasing the data dimensionality. We
introduce a hybrid algorithm to optimize the reduction
size and computational time according to the distance
from the camera while maintaining visual quality. Our
method provides a practical tool for creating an interactive
animation of many characters while ensuring accurate and
flexible controls at a modest level of computational cost.
雑誌名
Proceedings - 15th Pacific Conference on Computer Graphics and Applications, Pacific Graphics 2007
巻
15th
ページ
9 - 17
発行年
2007
出版者
IEEE
DOI
10.1109/PG.2007.36
権利
This is the author's version of the work. Copyright (C) 2007 IEEE. 15th Pacific Conference on Computer Graphics and Applications, Pacific Graphics 2007, Pages 9-17. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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