Non-rigid 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 non-rigid 3D shape retrieval methods implemented by
different participants around the world. The track is based on a new non-rigid
3D shape benchmark, which contains 600 watertight triangle meshes that are
equally classified into 30 categories. In this track, 25 runs have been
submitted by 9 groups and their retrieval accuracies were evaluated using 6
commonly-utilized measures.