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

Published

June 12, 2014

Author(s)

Afzal A. Godil, Chunyuan Li

Abstract

The objective of this track is to evaluate the performance of 3D shape retrieval approaches on a large-sale com- prehensive 3D shape database which 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 domain- specific 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.

Proceedings Title

The Seventh Eurographics Workshop on 3D Object Retrieval (3DOR 2014)

Conference Dates

April 6, 2014

Conference Location

Strasbourg

Conference Title

Co-event of the 35rd Annual Conference of the European Association for Computer Graphics (Eurographics 2014)

Pub Type

Conferences

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Keywords

3D shape retrieval , comprehensive 3D models, performance evaluation, large scale retrieval

Citation

Godil, A. and Li, C. (2014), SHREC’14 Track: Large Scale Comprehensive 3D Shape Retrieval, The Seventh Eurographics Workshop on 3D Object Retrieval (3DOR 2014) , Strasbourg, -1, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=915676 (Accessed October 12, 2025)