Abstract
This work presents an analysis of Higher Order Singular Value Decomposition (HO-SVD) applied to reduction of dimensionality of 3D mesh animations. Compression error is measured using three metrics (MSE, Hausdorff, MSDM). Results are compared with a method based on Principal Component Analysis (PCA) and presented on a set of animations with typical mesh deformations. © 2014 Springer International Publishing.
Cite
CITATION STYLE
Romaszewski, M., Gawron, P., & Opozda, S. (2014). Dimensionality reduction of dynamic animations using HO-SVD. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8467 LNAI, pp. 757–768). Springer Verlag. https://doi.org/10.1007/978-3-319-07173-2_65
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