Machado, J.Ferreira, A.Pascoal, P. B.Abdelrahman, M.Aono, M.El-Melegy, M.Farag, A.Johan, H.Li, B.Lu, Y.Tatsuma, A.Umberto Castellani and Tobias Schreck and Silvia Biasotti and Ioannis Pratikakis and Afzal Godil and Remco Veltkamp2013-09-242013-09-242013978-3-905674-44-61997-0463https://doi.org/10.2312/3DOR/3DOR13/065-071The SHREC'13 Track: Retrieval of Objects Captured with Low-Cost Depth-Sensing Cameras is a first attempt at evaluating the effectiveness of 3D shape retrieval algorithms in low fidelity model databases, such as the ones captured with commodity depth cameras. Both target and query set are composed by objects captured with a Kinect camera and the objective is to retrieve the models in the target set who were considered relevant by a human-generated ground truth. Given how widespread such devices are, and how easy it is becoming for an everyday user to capture models in his household, the necessity of algorithms for these new types of 3D models is also increasing. Three groups have participated in the contest, providing rank lists for the set of queries, which is composed of 12 models from the target set.H.3.3 [Information Storage and Retrieval]Information Search and RetrievalRelevance feedbackI.3.5 [Computer Graphics]Computational Geometry and Object ModelingGeometric algorithmslanguagesand systems