@inproceedings{796de9f6ca2e41b195d9cba44c17f572,
title = "Shrec'13 track: Large-scale partial shape retrieval using simulated range images",
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.",
author = "I. Sipiran and R. Meruane and B. Bustos and T. Schreck and H. Johan and B. Li and Y. Lu",
note = "Publisher Copyright: {\textcopyright} The Eurographics Association 2013.; 6th Eurographics Workshop on 3D Object Retrieval, 3DOR 2013 ; Conference date: 11-05-2013",
year = "2013",
doi = "10.2312/3DOR/3DOR13/081-088",
language = "English",
series = "Eurographics Workshop on 3D Object Retrieval, EG 3DOR",
publisher = "Eurographics Association",
pages = "81--88",
editor = "Tobias Schreck and Umberto Castellani and Silvia Biasotti and Afzal Godil and Ioannis Pratikakis and Remco Veltkamp",
booktitle = "3D Object Retrieval Workshop Series, co-located with Eurographics 2013",
}