Retrieval of Human Subjects from Depth Sensor Data

dc.contributor.authorGiachetti, A.en_US
dc.contributor.authorFornasa, F.en_US
dc.contributor.authorParezzan, F.en_US
dc.contributor.authorSaletti, A.en_US
dc.contributor.authorZambaldo, L.en_US
dc.contributor.authorZanini, L.en_US
dc.contributor.authorAchilles, F.en_US
dc.contributor.authorIchim, A. E.en_US
dc.contributor.authorTombari, F.en_US
dc.contributor.authorNavab, N.en_US
dc.contributor.authorVelasco-Forero, S.en_US
dc.contributor.editorA. Ferreira and A. Giachetti and D. Giorgien_US
dc.date.accessioned2016-05-04T16:04:58Z
dc.date.available2016-05-04T16:04:58Z
dc.date.issued2016en_US
dc.description.abstractIn this paper we report the results of the SHREC 2016 contest on "Retrieval of human subjects from depth sensor data". The proposed task was created in order to verify the possibility of retrieving models of query human subjects from single shots of depth sensors, using shape information only. Depth acquisition of different subjects were realized under different illumination conditions, using different clothes and in three different poses. The resulting point clouds of the partial body shape acquisitions were segmented and coupled with the skeleton provided by the OpenNI software and provided to the participants together with derived triangulated meshes. No color information was provided. Retrieval scores of the different methods proposed were estimated on the submitted dissimilarity matrices and the influence of the different acquisition conditions on the algorithms were also analyzed. Results obtained by the participants and by the baseline methods demonstrated that the proposed task is, as expected, quite difficult, especially due the partiality of the shape information and the poor accuracy of the estimated skeleton, but give useful insights on potential strategies that can be applied in similar retrieval procedures and derived practical applications.en_US
dc.description.sectionheadersSHREC'16 Tracksen_US
dc.description.seriesinformationEurographics Workshop on 3D Object Retrievalen_US
dc.identifier.doi10.2312/3dor.20161086en_US
dc.identifier.isbn978-3-03868-004-8en_US
dc.identifier.issn1997-0471en_US
dc.identifier.pages41-46en_US
dc.identifier.urihttps://doi.org/10.2312/3dor.20161086en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectI.4.8 [IMAGE PROCESSING AND COMPUTER VISION]en_US
dc.subjectScene Analysisen_US
dc.subjectShapeen_US
dc.titleRetrieval of Human Subjects from Depth Sensor Dataen_US
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