2013/10/04 by Michał Romaszewski, Piotr Gawron, Romaszewski, Michał +3
Computer Science · Mathematics · Medicine · #Advanced Neuroimaging Techniques and Applications #Generative Adversarial Networks and Image Synthesis #Tensor decomposition and applications #cs.GR
paper · pdf · doi:10.48550/arxiv.1310.1240
15 pages, 11 figures
arxiv created 2013/10/04 · arxiv updated 2013/10/07
This work presents an analysis of Higher Order Singular Value Decomposition (HO-SVD) applied to lossy compression of 3D mesh animations. We describe strategies for choosing a number of preserved spatial and temporal components after tensor decomposition. 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.