Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/67292
DC FieldValueLanguage
dc.contributorInstitute of Textiles and Clothing-
dc.creatorHuang, HQ-
dc.creatorMok, PY-
dc.creatorKwok, YL-
dc.creatorAu, SC-
dc.date.accessioned2017-06-13T05:06:34Z-
dc.date.available2017-06-13T05:06:34Z-
dc.identifier.issn1560-6074-
dc.identifier.urihttp://hdl.handle.net/10397/67292-
dc.language.isoenen_US
dc.publisherEmerald Group Publishing Limiteden_US
dc.subjectClothingen_US
dc.subjectBlock pattern generationen_US
dc.subjectBody segmentationen_US
dc.subjectClustering body surfaceen_US
dc.subjectGarment patternsen_US
dc.titleAutomatic block pattern generation from a 3D unstructured point clouden_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage26-
dc.identifier.epage37-
dc.identifier.volume14-
dc.identifier.issue1-
dc.identifier.doi10.1108/RJTA-14-01-2010-B003-
dcterms.abstractAccurate and fitted garment patterns are fundamentally important in garment manufacturing. Even though a virtual body can now be obtained by 3D scanning, the problem of generating patterns model is still challenging because the mapping from a 3D body to 2D pattern is constrained by complex garment style information and sewing definitions. This paper presents a new approach for generating 2D block patterns directly from scanned 3D unstructured points of the human body. The new approach consists of a series of steps from body recognition, body modelling to pattern formation. In the paper, algorithms for body feature extraction and body modelling are first described, then the relationship between the human body, patterns and darts are investigated, and pattern creation through automatic dart transformation are thus developed. The paper has demonstrated that the proposed method can generate 2D block patterns from a 3D unstructured point cloud.-
dcterms.bibliographicCitationResearch journal of textile and apparel, 2010, v. 14, no. 1, p. 26-37-
dcterms.isPartOfResearch journal of textile and apparel-
dcterms.issued2010-
dc.identifier.rosgroupidr48130-
dc.description.ros2009-2010 > Academic research: refereed > Publication in refereed journal-
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