3D Model Retrieval using Density-based Silhouette Descriptor

Qi Tang, Xin Yang

Abstract

In this paper we present a new content-based retrieval descriptor, density-based silhouette descriptor (DBS). It characterizes a 3D object with multivariate probability functions of its 2D silhouette features. The new descriptor is computationally efficient and induces a permutation property that guarantees invariance at the matching stage. Also, it is insensitive to small shape perturbations and mesh resolution. The retrieval performance on several 3D databases shows that the DBS provides state-of-art discrimination over a broad and heterogeneous set of shape categories.

References

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Paper Citation


in Harvard Style

Tang Q. and Yang X. (2013). 3D Model Retrieval using Density-based Silhouette Descriptor . In Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-8565-41-9, pages 267-270. DOI: 10.5220/0004201602670270


in Bibtex Style

@conference{icpram13,
author={Qi Tang and Xin Yang},
title={3D Model Retrieval using Density-based Silhouette Descriptor},
booktitle={Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2013},
pages={267-270},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004201602670270},
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 - 3D Model Retrieval using Density-based Silhouette Descriptor
SN - 978-989-8565-41-9
AU - Tang Q.
AU - Yang X.
PY - 2013
SP - 267
EP - 270
DO - 10.5220/0004201602670270