Point-Cloud Shape Retrieval of Non-Rigid Toys

dc.contributor.authorLimberger, F. A.en_US
dc.contributor.authorWilson, R. C.en_US
dc.contributor.authorAono, M.en_US
dc.contributor.authorAudebert, N.en_US
dc.contributor.authorBoulch, A.en_US
dc.contributor.authorBustos, B.en_US
dc.contributor.authorGiachetti, A.en_US
dc.contributor.authorGodil, A.en_US
dc.contributor.authorSaux, B. Leen_US
dc.contributor.authorLi, B.en_US
dc.contributor.authorLu, Y.en_US
dc.contributor.authorNguyen, H.-D.en_US
dc.contributor.authorNguyen, V.-T.en_US
dc.contributor.authorPham, V.-K.en_US
dc.contributor.authorSipiran, I.en_US
dc.contributor.authorTatsuma, A.en_US
dc.contributor.authorTran, M.-T.en_US
dc.contributor.authorVelasco-Forero, S.en_US
dc.contributor.editorIoannis Pratikakis and Florent Dupont and Maks Ovsjanikoven_US
dc.date.accessioned2017-04-22T17:17:44Z
dc.date.available2017-04-22T17:17:44Z
dc.date.issued2017
dc.description.abstractIn this paper, we present the results of the SHREC'17 Track: Point-Cloud Shape Retrieval of Non-Rigid Toys. The aim of this track is to create a fair benchmark to evaluate the performance of methods on the non-rigid point-cloud shape retrieval problem. The database used in this task contains 100 3D point-cloud models which are classified into 10 different categories. All point clouds were generated by scanning each one of the models in their final poses using a 3D scanner, i.e., all models have been articulated before scanned. The retrieval performance is evaluated using seven commonly-used statistics (PR-plot, NN, FT, ST, E-measure, DCG, mAP). In total, there are 8 groups and 31 submissions taking part of this contest. The evaluation results shown by this work suggest that researchers are in the right way towards shape descriptors which can capture the main characteristics of 3D models, however, more tests still need to be made, since this is the first time we compare non-rigid signatures for point-cloud shape retrieval.en_US
dc.description.sectionheadersSHREC Session II
dc.description.seriesinformationEurographics Workshop on 3D Object Retrieval
dc.identifier.doi10.2312/3dor.20171056
dc.identifier.isbn978-3-03868-030-7
dc.identifier.issn1997-0471
dc.identifier.pages75-84
dc.identifier.urihttps://doi.org/10.2312/3dor.20171056
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/3dor20171056
dc.publisherThe Eurographics Associationen_US
dc.subjectH.3.3 [Computer Graphics]
dc.subjectInformation Systems
dc.subjectInformation Search and Retrieval
dc.titlePoint-Cloud Shape Retrieval of Non-Rigid Toysen_US
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
075-084.pdf
Size:
2.38 MB
Format:
Adobe Portable Document Format
Collections