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dc.contributor.author박종일-
dc.date.accessioned2016-08-04T06:03:06Z-
dc.date.available2016-08-04T06:03:06Z-
dc.date.issued2015-02-
dc.identifier.citationMEASUREMENT, v. 61, Page. 169-179en_US
dc.identifier.issn0263-2241-
dc.identifier.issn1873-412X-
dc.identifier.urihttp://www.sciencedirect.com/science/article/pii/S0263224114005132-
dc.identifier.urihttp://hdl.handle.net/20.500.11754/22415-
dc.description.abstractA number of intelligent vision systems have been applied to the apparel industry. Among them, few existing systems have been utilized directly for the production of custom tailoring. Therefore, we propose a portable tailor assistant system that can measure the dimensions of the customer's body automatically. The proposed system, which uses a vision-based method and system package, provides comfort and privacy for customers and cost savings and convenience for tailors. It works in four steps: frontal color image processing based on background subtraction and marker recognition, frontal IR image processing for robust marker detection, foot IR image processing for manufacturing customized insoles, and final measurement based on characteristics of the human body. Through experiments, the system is proven to measure the dimensions of human body parts quickly and robustly in cluttered indoor environments. Therefore, the vision-based automatic human body measurement system will be a breakthrough in the clothing industry. (C) 2014 Elsevier Ltd. All rights reserved.en_US
dc.description.sponsorshipMSIP (Ministry of Science, ICT&Future Planning), Korea, under the CITRC (Convergence Information Technology Research Center) support programen_US
dc.language.isoenen_US
dc.publisherELSEVIER SCI LTDen_US
dc.subjectApparel applicationen_US
dc.subjectAutomatic body measurementen_US
dc.subjectHeterogeneous vision methoden_US
dc.subjectPotable systemen_US
dc.subjectMarker-based systemen_US
dc.titleFully vision-based automatic human body measurement system for apparel applicationen_US
dc.typeArticleen_US
dc.relation.volume61-
dc.identifier.doi10.1016/j.measurement.2014.10.044-
dc.relation.page169-179-
dc.relation.journalMEASUREMENT-
dc.contributor.googleauthorUhm, Taeyoung-
dc.contributor.googleauthorPark, Hanhoon-
dc.contributor.googleauthorPark, Jong-Il-
dc.relation.code2015013491-
dc.sector.campusS-
dc.sector.daehakCOLLEGE OF ENGINEERING[S]-
dc.sector.departmentDEPARTMENT OF COMPUTER SCIENCE-
dc.identifier.pidjipark-
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COLLEGE OF ENGINEERING[S](공과대학) > COMPUTER SCIENCE AND ENGINEERING(컴퓨터공학부) > Articles
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