SHREC’14 Track: Large Scale Comprehensive 3D Shape Retrieval

Abstract

The objective of this track is to evaluate the performance of 3D shape retrieval approaches on a large-sale comprehensive 3D shape database that contains different types of models, such as generic, articulated, CAD and architecture models. The track is based on a new comprehensive 3D shape benchmark, which contains 8,987 triangle meshes that are classified into 171 categories. The benchmark was compiled as a superset of existing benchmarks and presents a new challenge to retrieval methods as it comprises generic models as well as domainspecific model types. In this track, 14 runs have been submitted by 5 groups and their retrieval accuracies were evaluated using 7 commonly used performance metrics.

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Cite this paper

@inproceedings{Li2014SHREC14TL, title={SHREC’14 Track: Large Scale Comprehensive 3D Shape Retrieval}, author={B. Li and Yun Lu and C. Li and Afzal Godil and Tobias Schreck and Masahiro Aono and Qinghua Chen and Nihad Karim Chowdhury and Bin-Xing Fang and Takahiko Furuya and Henry Johan and Ryuichi Kosaka and Hitoshi Koyanagi and Ryutarou Ohbuchi and Atsushi Tatsuma}, year={2014} }