Li, B.Lu, Y.Li, C.Godil, A.Schreck, TobiasAono, M.Chen, Q.Chowdhury, N. K.Fang, B.Furuya, T.Johan, H.Kosaka, R.Koyanagi, H.Ohbuchi, R.Tatsuma, A.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.20141059https://diglib.eg.org/handle/10.2312/3dor.20141059.131-140The objective of this track is to evaluate the performance of 3D shape retrieval approaches on a large-scale comprehensive 3D shape database that 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 domainspecific 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.H.3.3 [Computer Graphics]Information SystemsInformation Search and Retrieval