Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/105134
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dc.contributorSchool of Fashion and Textilesen_US
dc.contributorSchool of Designen_US
dc.creatorNg, Ren_US
dc.creatorLuximon, Yen_US
dc.creatorCheung, JSLen_US
dc.date.accessioned2024-04-03T01:46:27Z-
dc.date.available2024-04-03T01:46:27Z-
dc.identifier.urihttp://hdl.handle.net/10397/105134-
dc.language.isoenen_US
dc.publisherFederation of Asian Professional Textile Associationsen_US
dc.rightsPosted with permission of the author.en_US
dc.subjectBody landmarken_US
dc.subjectAutomationen_US
dc.subject3D scanen_US
dc.titleAutomatic recognition of biological body landmarken_US
dc.typeConference Paperen_US
dcterms.abstractMany different automated applications require the automatic recognition of biological body landmarks, such as biometric identification, and three-dimensional (3-D) body scanning. Some methods are based on the photographic image of a human subject [1]. Image analysis methods are based on clustering the regions of pixels according to the texture information [2]. Feature-based recognition from photographic image is possible too [3]. Other methods are based on the template matching [4]. In this article, the researchers present a framework that is based on the geometric information with examples and discussion on the actual application with 3-D body scanners.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationThe 14th Asian Textile Conference, Hong Kong, 27-30 Jun 2017en_US
dcterms.issued2017-
dc.relation.conferenceAsian Textile Conference [ATC]en_US
dc.description.validate202403 bckwen_US
dc.description.oaNot applicableen_US
dc.identifier.FolderNumberSD-0256-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextThe Hong Kong Polytechnic Universityen_US
dc.identifier.OPUS24251194-
dc.description.oaCategoryCopyright retained by authoren_US
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