Retrieval of Objects Captured with Kinect One Camera

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dc.contributor.authorPascoal, Pedro B.en_US
dc.contributor.authorProença, Pedroen_US
dc.contributor.authorGaspar, Filipeen_US
dc.contributor.authorDias, Miguel Salesen_US
dc.contributor.authorTeixeira, Filipeen_US
dc.contributor.authorFerreira, Alfredoen_US
dc.contributor.authorSeib, Viktoren_US
dc.contributor.authorLink, Normanen_US
dc.contributor.authorPaulus, Dietrichen_US
dc.contributor.authorTatsuma, Atsushien_US
dc.contributor.authorAono, Masakien_US
dc.contributor.editorI. Pratikakis and M. Spagnuolo and T. Theoharis and L. Van Gool and R. Veltkampen_US
dc.date.accessioned2015-04-27T11:03:43Z
dc.date.available2015-04-27T11:03:43Z
dc.date.issued2015en_US
dc.description.abstractLow-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, which in turn raised the need of efficient search and retrieval techniques. We believe the same is happening now for the 3D domain. Therefore, it is essential to identify which 3D shape descriptors, provide better matching and retrieval of such digitalized objects. In this paper, we start by presenting a collection of 3D objects acquired using the latest version of Microsoft Kinect, namely, Kinect One. This dataset, comprising 175 common household objects classified into 18 different classes, was then used for the SHape REtrieval Contest (SHREC). Two groups have submitted their 3D matching techniques, providing the rank list with top 10 results, using the complete set of 175 objects as queries.en_US
dc.description.sectionheadersSHREC'15 Tracksen_US
dc.description.seriesinformationEurographics Workshop on 3D Object Retrievalen_US
dc.identifier.doi10.2312/3dor.20151068en_US
dc.identifier.pages145-151en_US
dc.identifier.urihttps://doi.org/10.2312/3dor.20151068en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectH.3.3 [Information Storage and Retrieval]en_US
dc.subjectInformation Search and Retrievalen_US
dc.subjectRelevance feedback.en_US
dc.subjectI.3.5 [Computer Graphics]en_US
dc.subjectComputational Geometry and Object Modelingen_US
dc.subjectGeometric algorithmsen_US
dc.subjectlanguagesen_US
dc.subjectsystems.en_US
dc.titleRetrieval of Objects Captured with Kinect One Cameraen_US
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