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Low-cost RGB-D sensing technology, such as the Microsoft Kinect, is gaining acceptance in the scientific community and even entering into our homes. This technology enables ordinary users to capture everyday object into digital 3D representations. Considering the image retrieval context, whereas the ability to digitalize photos led to a rapid increase of large collections of images, we believe the same is now possible for the 3D domain.
As of November of 2015 our group as compiled and made available to the academic and scientific comunities a RGB-D Dataset Collection with over 200 common household objects (e.g. cups, dishes, staplersa dn ash trays). Our ISCTE-IUL RGB-D Dataset was captured using a Microsoft Kinect One, and provides up to 90 frame pairs of RGB and Depth images for each captured object, its corresponding registered and segmented point cloud and a polygon mesh.
Researchers
Related Publications
Retrieval of Objects Captured with Kinect One Camera. Pedro Pascoal, P.B. Pascoal, P. Proença, F. Gaspar, M. Sales Dias, F. Teixeira, A. Ferreira, V. Seib, N. Link, Dietrich, A. Tatsuma, M. Aono, in Eurographics 2015 Workshop on 3D Object Retrieval, Zurich, Switzerland, May 2015.
