Li, B.Lu, Y.Li, C.Godil, A.Schreck, TobiasAono, M.Burtscher, M.Fu, H.Furuya, T.Johan, H.Liu, J.Ohbuchi, R.Tatsuma, A.Zou, C.Benjamin Bustos and Hedi Tabia and Jean-Philippe Vandeborre and Remco Veltkamp2014-12-152014-12-152014978-3-905674-58-31997-0463https://doi.org/10.2312/3dor.20141058https://diglib.eg.org/handle/10.2312/3dor.20141058.121-130Large scale sketch-based 3D shape retrieval has received more and more attentions in the community of contentbased 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 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.H.3.3 [Computer Graphics]Information SystemsInformation Search and Retrieval