SHREC'13 Track: Large-Scale Partial Shape Retrieval Using Simulated Range Images

Sipiran, I.; Meruane, R.; Bustos, B.; Schreck, Tobias; Johan, H.; Li, B.; Lu, Y.

SHREC'13 Track: Large-Scale Partial Shape Retrieval Using Simulated Range Images

Files

081-088.pdf (478.42 KB)

Date

2013

Authors

Sipiran, I.
Meruane, R.
Bustos, B.
Schreck, Tobias
Johan, H.
Li, B.
Lu, Y.

Publisher

The Eurographics Association

Abstract

Partial shape retrieval is a challenging problem in content-based 3D model retrieval. This track intends to evaluate the performance of existing algorithms for partial retrieval. The contest is based on a new large-scale query set obtained by mimicking the range image acquisition using a standard 3D benchmark as target set. The query set contains 7200 partial meshes with different levels of complexity. Furthermore, we propose the use of new performance measures based on a partiality factor. With this characteristics, our goal is to evaluate several important aspects: effectiveness, efficiency, robustness and scalability. The obtained results of this track open new questions regarding the difficulty of the partial shape retrieval problem and the scalability of algorithms. In addition, potential future directions on this topic are identified.

        @inproceedings{:10.2312/3DOR/3DOR13/081-088
,
booktitle = {Eurographics Workshop on 3D Object Retrieval
},
editor = {Umberto Castellani and Tobias Schreck and Silvia Biasotti and Ioannis Pratikakis and Afzal Godil and Remco Veltkamp
},
title = {{SHREC'13 Track: Large-Scale Partial Shape Retrieval Using Simulated Range Images
}},
author = {Sipiran, I. and 
Meruane, R. and 
Bustos, B. and 
Schreck, Tobias and 
Johan, H. and 
Li, B. and 
Lu, Y.
},
year = {2013
},
publisher = {The Eurographics Association
},
ISSN = {1997-0463
},
ISBN = {978-3-905674-44-6
},
DOI = {/10.2312/3DOR/3DOR13/081-088
}
}