Robust 3-D Object Skeletonisation for the Similarity Measure
Christian Feinen, David Barnowsky, Dietrich Paulus, Marcin Grzegorzek
2013
Abstract
In this paper we introduce our approach for similarity measure of 3-D objects based on an existing curve skeletonization technique. This skeletonization algorithm for 3-D objects delivers skeletons thicker than 1 voxel. This makes an efficient distance or similarity measure impossible. To overcome this drawback, we use a significantly extended skeletonization algorithm (by Reniers) and a modified Dijkstra approach. In addition to that, we propose features that are directly extracted from the resulting skeletal structures. To evaluate our system, we created a ground truth of 3-D objects and their similarities estimated by humans. The automatic similarity results achieved by our system were evaluated against this ground truth in terms of precision and recall in an object retrieval setup.
DownloadPaper Citation
in Harvard Style
Feinen C., Barnowsky D., Paulus D. and Grzegorzek M. (2013). Robust 3-D Object Skeletonisation for the Similarity Measure . In Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-8565-41-9, pages 167-175. DOI: 10.5220/0004255601670175
in Bibtex Style
@conference{icpram13,
author={Christian Feinen and David Barnowsky and Dietrich Paulus and Marcin Grzegorzek},
title={Robust 3-D Object Skeletonisation for the Similarity Measure},
booktitle={Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2013},
pages={167-175},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004255601670175},
isbn={978-989-8565-41-9},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Robust 3-D Object Skeletonisation for the Similarity Measure
SN - 978-989-8565-41-9
AU - Feinen C.
AU - Barnowsky D.
AU - Paulus D.
AU - Grzegorzek M.
PY - 2013
SP - 167
EP - 175
DO - 10.5220/0004255601670175