SHREC'12 track: sketch-based 3D shape retrieval

Authors:
B. Li;T. Schreck;A. Godil;M. Alexa;T. Boubekeur;B. Bustos;J. Chen;M. Eitz;T. Furuya;K. Hildebrand;S. Huang;H. Johan;A. Kuijper;R. Ohbuchi;R. Richter;J. M. Saavedra;M. Scherer;T. Yanagimachi;G. J. Yoon;S. M. Yoon
Affiliations:
National Institute of Standards and Technology, Gaithersburg and School of Computer Engineering, Nanyang Technological University, Singapore;Computer and Information Science, University of Konstanz, Germany;National Institute of Standards and Technology, Gaithersburg;TU Berlin, Germany;Telecom ParisTech, CNRS, France;Department of Computer Science, University of Chile, Chile;University of Yamanashi, Yamanashi, Japan;TU Berlin, Germany;Nisca Corp., Yamanashi, Japan;TU Berlin, Germany;University of Yamanashi, Yamanashi, Japan;School of Computer Engineering, Nanyang Technological University, Singapore;Fraunhofer IGD, Germany;University of Yamanashi, Yamanashi, Japan;TU Berlin, Germany;Department of Computer Science, University of Chile, Chile;GRIS, TU Darmstadt, Germany;University of Yamanashi, Yamanashi, Japan;National Institute for Mathematical Science, Korea;Yonsei Institute of Convergence Technology, Yonsei University, Korea
Venue:
EG 3DOR'12 Proceedings of the 5th Eurographics conference on 3D Object Retrieval
Year:
2012

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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 implemented by different participants over the world. The track is based on a new sketch-based 3D shape benchmark, which contains two types of sketch queries and two versions of target 3D models. In this track, 7 runs have been submitted by 5 groups and their retrieval accuracies were evaluated using 7 commonly used retrieval performance metrics. We hope that the benchmark, its corresponding evaluation code, and the comparative evaluation results of the state-of-the-art sketch-based 3D model retrieval algorithms will contribute to the progress of this research direction for the 3D model retrieval community.