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Authors: Qi Tang 1 and Xin Yang 2

Affiliations: 1 Shanghai Jiao Tong University and Key Laboratory of System Control and Information Processing, China ; 2 Shanghai Jiao Tong University and Ministry of Education of China, China

Keyword(s): Shape Matching, Retrieval, Silhouette, Probability Density Function, Kernel Density Estimation, Invariance.

Related Ontology Subjects/Areas/Topics: Classification ; Clustering ; Density Estimation ; Feature Selection and Extraction ; Information Retrieval and Learning ; Pattern Recognition ; Theory and Methods

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.

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Paper citation in several formats:
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 - ICPRAM; ISBN 978-989-8565-41-9; ISSN 2184-4313, SciTePress, pages 267-270. DOI: 10.5220/0004201602670270

@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 - ICPRAM},
year={2013},
pages={267-270},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004201602670270},
isbn={978-989-8565-41-9},
issn={2184-4313},
}

TY - CONF

JO - Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods - ICPRAM
TI - 3D Model Retrieval using Density-based Silhouette Descriptor
SN - 978-989-8565-41-9
IS - 2184-4313
AU - Tang, Q.
AU - Yang, X.
PY - 2013
SP - 267
EP - 270
DO - 10.5220/0004201602670270
PB - SciTePress

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