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dc.contributor.authorDomingo Esteve, Juan de Mata
dc.contributor.authorSimó Vidal, Amelia
dc.contributor.authorIbáñez Gual, Maria Victoria
dc.contributor.authorDura, Esther
dc.contributor.authorAyala Gallego, Guillermo
dc.contributor.authorAlemany Mut, Sandra
dc.date.accessioned2017-03-13T11:17:09Z
dc.date.available2017-03-13T11:17:09Z
dc.date.issued2016-08
dc.identifier.citationDOMINGO ESTEVE, Juan de Mata; SIMÓ VIDAL, Amelia; IBÁÑEZ GUAL, María Victoria; DURA, Esther; AYALA GALLEGO, Guillermo; ALEMANY MUT, Sandra. Towards a mean body for apparel design. Image and vision computing (2016), v. 52, pp. 88-96ca_CA
dc.identifier.urihttp://hdl.handle.net/10234/166656
dc.description.abstractThis paper focuses on shape average with applications to the apparel industry. Apparel industry uses a consensus sizing system; its major concern is to fit most of the population into it. Since anthropometric measures do not grow linearly, it is important to find prototypes to accurately represent each size. This is done using random compact mean sets, obtained from a cloud of 3D points given by a scanner and applying to the sample a previous definition of mean set. Additionally, two approaches to define confidence sets are introduced. The methodology is applied to data obtained from a real anthropometric survey.ca_CA
dc.description.sponsorShipThis paper has been partially supported by the following grants: TIN2009-14392-C02-01, TIN2009-14392-C02-02 and DPI2013- 45742-R from the Spanish Ministry of Economy and Competitiveness with FEDER funds.ca_CA
dc.format.extent9 p.ca_CA
dc.format.mimetypeapplication/pdfca_CA
dc.language.isoengca_CA
dc.publisherElsevierca_CA
dc.relation.isPartOfImage and vision computing (2016), v. 52ca_CA
dc.subjectMean setca_CA
dc.subjectConfidence setca_CA
dc.subjectApparel designca_CA
dc.subjectAnthropometric surveyca_CA
dc.titleTowards a mean body for apparel designca_CA
dc.typeinfo:eu-repo/semantics/articleca_CA
dc.identifier.doihttp://dx.doi.org/10.1016/j.imavis.2016.04.016
dc.rights.accessRightsinfo:eu-repo/semantics/restrictedAccessca_CA
dc.relation.publisherVersionhttp://www.sciencedirect.com/science/article/pii/S0262885616300944ca_CA


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