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Publication Citation: SHREC‰13 Track: Large Scale Sketch-Based 3D Shape Retrieval

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Author(s): Afzal A. Godil; Bo Li; Yijuan Lu; Tobias Schreck;
Title: SHREC‰13 Track: Large Scale Sketch-Based 3D Shape Retrieval
Published: June 06, 2013
Abstract: Sketch-based 3D shape retrieval has become an important research topic in content-based 3D object retrieval. The aim of this track is to measure and compare the performance of sketch-based 3D shape retrieval methods based on a large scale hand-drawn sketch query dataset which has 7200 sketches and a generic 3D model target dataset containing 1258 3D models. The sketches and models are divided into 80 distinct classes. In this track, 5 runs have been submitted by 3 groups and their retrieval accuracies were evaluated using 7 commonly used retrieval perfor- mance metrics. We hope that this benchmark, its corresponding evaluation code, and the comparative evaluation results will contribute to the progress of this research direction for the 3D model retrieval community.
Proceedings: Eurographics Workshop on 3D Object Retrieval, Girona (Spain), May 11 - 2013
Location: Girona, -1
Dates: May 11-12, 2013
Keywords: 3D Shape Retrieval, Information Search and Retrieval, performance evaluation
Research Areas: Assessment, Data Mining, Information Delivery Systems, Modeling, Information Processing Systems, Information Technology, Imaging
PDF version: PDF Document Click here to retrieve PDF version of paper (750KB)