Bibtex 5(2008)6
Predictive-DCT Coding for 3D Mesh Sequences Compression
@article{AS08,
author="Rachida Amjoun and Wolfgang Stra{\ss}er",
title="Predictive-DCT Coding for 3D Mesh Sequences Compression",
journal="Journal of Virtual Reality and Broadcasting",
editor = "Jens Herder",
year="2008",
volume="5",
number="6",
month=jul,
note="{\tt urn:nbn:de:0009-6-14446,}, ISSN 1860-2037",
abstract = "This paper proposes a new compression algorithm for
dynamic 3d meshes. In such a sequence of meshes,
neighboring vertices have a strong tendency to behave
similarly and the degree of dependencies between
their locations in two successive frames is very large
which can be efficiently exploited using a combination
of Predictive and DCT coders (PDCT). Our strategy
gathers mesh vertices of similar motions into clusters,
establish a local coordinate frame (LCF) for each cluster
and encodes frame by frame and each cluster separately.
The vertices of each cluster have small variation
over a time relative to the LCF. Therefore, the location
of each new vertex is well predicted from its location
in the previous frame relative to the LCF of its cluster.
The difference between the original and the predicted
local coordinates are then transformed into frequency
domain using DCT. The resulting DCT coefficients are
quantized and compressed with entropy coding. The
original sequence of meshes can be reconstructed from
only a few non-zero DCT coefficients without significant
loss in visual quality. Experimental results show
that our strategy outperforms or comes close to other
coders."
}
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