Efficient Compression of 3D Dynamic Mesh Sequences
Date issued
2007
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Václav Skala - UNION Agency
Abstract
This paper presents a new compression algorithm for 3D dynamic mesh sequences based on the local principal component analysis
(LPCA). The algorithm clusters the vertices into a number of clusters using the local similarity between the trajectories in
a coordinate system that is defined in each cluster, and thus transforms the original vertex coordinates into the local coordinate
frame of their cluster. This operation leads to a strong clustering behavior of vertices and makes each region invariant to any
deformation over time. Then, each cluster is efficiently encoded with the principal component analysis. The appropriate numbers
of basis vectors to approximate the clusters are optimally chosen using the bit allocation process. For further compression,
quantization and entropy encoding are used. According to the experimental results, the proposed coding scheme provides a
significantly improvement in compression ratio over existing coders.
Description
Subject(s)
3D animace, dynamické mřížkové sekvence, datová komprese
Citation
Journal of WSCG. 2007, vol. 15, no. 1-3, p. 99-106.