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

Published

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)

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 February 26, 2024)
Created June 12, 2014, Updated February 19, 2017