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Publication Citation: SHREC‰14 Track: Large Scale Comprehensive 3D Shape Retrieval

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Author(s): Afzal A. Godil; Chunyuan Li;
Title: SHREC‰14 Track: Large Scale Comprehensive 3D Shape Retrieval
Published: June 12, 2014
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.
Conference: Co-event of the 35rd Annual Conference of the European Association for Computer Graphics (Eurographics 2014)
Proceedings: The Seventh Eurographics Workshop on 3D Object Retrieval (3DOR 2014)
Pages: 10 pp.
Location: Strasbourg, -1
Dates: April 6, 2014
Keywords: 3D shape retrieval , comprehensive 3D models, performance evaluation, large scale retrieval
Research Areas: Information Delivery Systems, Information Processing Systems, Information Technology, Imaging
PDF version: PDF Document Click here to retrieve PDF version of paper (866KB)