6533b7d7fe1ef96bd12684ba

RESEARCH PRODUCT

Towards a mean body for apparel design

María IbáñezSandra AlemanyAmelia SimóJ. DomingoEsther DuraGuillermo Ayala

subject

ScannerComputer sciencePopulationCloud computingSample (statistics)02 engineering and technologycomputer.software_genre01 natural sciencesSet (abstract data type)010104 statistics & probabilityMean setAnthropometric surveyApparel design0202 electrical engineering electronic engineering information engineering0101 mathematicseducationeducation.field_of_studybusiness.industryConfidence setClothingSizingCompact spaceSignal Processing020201 artificial intelligence & image processingComputer Vision and Pattern RecognitionData miningbusinesscomputer

description

This 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. This 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.

yearjournalcountryeditionlanguage
2016-08-01Image and Vision Computing
https://doi.org/10.1016/j.imavis.2016.04.016