SHREC'13 track: retrieval of objects captured with low-cost depth-sensing cameras

Authors:
J. Machado;A. Ferreira;P. B. Pascoal;M. Abdelrahman;M. Aono;M. El-Melegy;A. Farag;H. Johan;B. Li;Y. Lu;A. Tatsuma
Affiliations:
INESC-ID/IST/Technical University of Lisbon;INESC-ID/IST/Technical University of Lisbon;INESC-ID/IST/Technical University of Lisbon and Microsoft Language Development Center, Portugal;University of Louisville, Louisville;Toyohashi University of Technology, Japan;University of Louisville, Louisville;University of Louisville, Louisville;Fraunhofer IDM@NTU, Singapore;Texas State University, San Marcos;Texas State University, San Marcos;Toyohashi University of Technology, Japan
Venue:
3DOR '13 Proceedings of the Sixth Eurographics Workshop on 3D Object Retrieval
Year:
2013

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Abstract

The 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.