SHREC'13 Track: Large-Scale Partial Shape Retrieval Using Simulated Range Images
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Date
2013
Journal Title
Journal ISSN
Volume Title
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.
Description
@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}
}