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dc.contributor.authorGiachetti, A.en_US
dc.contributor.authorMazzi, E.en_US
dc.contributor.authorPiscitelli, F.en_US
dc.contributor.authorAono, M.en_US
dc.contributor.authorHamza, A. Benen_US
dc.contributor.authorBonis, T.en_US
dc.contributor.authorClaes, P.en_US
dc.contributor.authorGodil, A.en_US
dc.contributor.authorLi, C.en_US
dc.contributor.authorOvsjanikov, M.en_US
dc.contributor.authorPatraucean, V.en_US
dc.contributor.authorShu, C.en_US
dc.contributor.authorSnyders, J.en_US
dc.contributor.authorSuetens, P.en_US
dc.contributor.authorTatsuma, A.en_US
dc.contributor.authorVandermeulen, D.en_US
dc.contributor.authorWuhrer, S.en_US
dc.contributor.authorXi, P.en_US
dc.contributor.editorBenjamin Bustos and Hedi Tabia and Jean-Philippe Vandeborre and Remco Veltkampen_US
dc.date.accessioned2014-12-15T13:52:09Z
dc.date.available2014-12-15T13:52:09Z
dc.date.issued2014en_US
dc.identifier.isbn978-3-905674-58-3en_US
dc.identifier.issn1997-0463en_US
dc.identifier.urihttp://dx.doi.org/10.2312/3dor.20141055en_US
dc.identifier.urihttp://hdl.handle.net/10.2312/3dor.20141055.093-100
dc.description.abstractIn this paper we report the results of the SHREC 2014 track on automatic location of landmarks used in manual anthropometry. The track has been organized to test the ability of modern computational geometry/pattern recognition techniques to locate accurately reference points used for tape based measurement. Participants had to locate six specific landmarks on human models acquired with a structured light body scanner. A training set of 50 models with manual annotations of the corresponding landmarks location was provided to train the algorithms. A test set of 50 different models was also provided, without annotations. Accuracy of the automatic location methods was tested via computing geodesic distances of the detected points from manually placed ones and evaluating different quality scores and functions.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectI.3.8 [Computer Graphics]en_US
dc.subjectComputer Graphicsen_US
dc.subjectApplicationsen_US
dc.titleAutomatic Location of Landmarks used in Manual Anthropometryen_US
dc.description.seriesinformationEurographics Workshop on 3D Object Retrievalen_US


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