Abstract
Shape skeleton extraction is a fundamental pre-processing task in
shape-based pattern recognition. This paper presents a new algorithm for
fast and precise extraction of kinematic skeletons of 3D dynamic surface
meshes. Unlike previous approaches, surface motions are characterized by
the mesh edge-length deviation induced by its transformation through
time. Then a static skeleton extraction algorithm based on Reeb graphs
exploits this latter information to extract the kinematic skeleton. This
hybrid static and dynamic shape analysis enables the precise detection
of objects' articulations as well as shape topological transitions
corresponding to possibly articulated immobile objects' features.
Experiments show that the proposed algorithm is faster than previous
techniques and still achieves better accuracy.
BibTeX Entry
@InProceedings{tierny08icpr,
|
author |
= "Tierny, Julien and Vandeborre, Jean-Philippe and Daoudi,
Mohamed", |
|
title |
= "Fast and precise kinematic skeleton extraction of 3{D}
dynamic meshes",
|
|
booktitle |
= "IEEE International Conference on Pattern Recognition (ICPR
2008)",
|
|
year |
= "2008",
|
|
address |
= "Tampa, Florida, USA",
|
| } |
Updated on July 14th, 2008.