Pascoal, Pedro B.Proença, PedroGaspar, FilipeDias, Miguel SalesFerreira, AlfredoTatsuma, AtsushiAono, MasakiLogoglu, K. BerkerKalkan, SinanTemizel, AlptekinLi, BoJohan, HenryLu, YijuanSeib, ViktorLink, NormanPaulus, DietrichA. Ferreira and A. Giachetti and D. Giorgi2016-05-042016-05-042016978-3-03868-004-81997-0471https://doi.org/10.2312/3dor.20161090RGB-D cameras allow to capture digital representations of objects in an easy and inexpensive way. Such technology enables ordinary users to capture everyday object into digital 3D representations. In this context, we present a track for the Shape Retrieval Contest, which focus on objects digitized using the latest version of Microsoft Kinect, namely, Kinect One. The proposed, track encompasses a dataset of two hundred objects and respective classification.H.3.3 [Information Storage and Retrieval]Information Search and RetrievalRelevance feedbackI.3.5 [Computer Graphics]Computational Geometry and Object ModelingGeometric algorithmslanguagesand systemsShape Retrieval of Low-Cost RGB-D Captures10.2312/3dor.2016109069-78