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Publication Citation: SHREC‰14 Track: Extended Large Scale Sketch-Based 3D Shape Retrieval

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Author(s): Afzal A. Godil; Chunyuan Li;
Title: SHREC‰14 Track: Extended Large Scale Sketch-Based 3D Shape Retrieval
Published: June 12, 2014
Abstract: Large scale sketch-based 3D shape retrieval has received more and more attentions in the community of content- based 3D object retrieval. The objective of this track is to evaluate the performance of different sketch-based 3D model retrieval algorithms using a large scale hand-drawn sketch query dataset on a comprehensive 3D model dataset. The benchmark contains has 12,680 sketches and 8,987 3D models, divided into 171 distinct classes. In this track, 12 runs were submitted by 4 groups and their retrieval performance was evaluated using 7 commonly used retrieval performance metrics. We hope that this benchmark, the comparative evaluation results and the corresponding evaluation code will further promote the progress of this research direction for the 3D model retrieval community.
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;Scale Sketch-Based 3D Shape Retrieval; Performance evaluation; Benchmarking
Research Areas: Information Delivery Systems, Information Processing Systems, Information Technology, Imaging
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