Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/65192
DC Field | Value | Language |
---|---|---|
dc.contributor | Institute of Textiles and Clothing | - |
dc.creator | Zhu, S | - |
dc.creator | Mok, PY | - |
dc.date.accessioned | 2017-04-11T01:46:03Z | - |
dc.date.available | 2017-04-11T01:46:03Z | - |
dc.identifier.issn | 2351-9789 | - |
dc.identifier.uri | http://hdl.handle.net/10397/65192 | - |
dc.description | 6th International Conference on Applied Human Factors and Ergonomics (AHFE 2015) and the Affiliated Conferences, AHFE 2015, Las Vegas, USA, 26-30 Jul 2015 | en_US |
dc.language.iso | en | en_US |
dc.publisher | Elsevier | en_US |
dc.rights | © 2015 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/) | en_US |
dc.rights | The following publication Zhu, S., & Mok, P. Y. (2015). Predicting realistic and precise human body models under clothing based on orthogonal-view photos. Procedia Manufacturing, 3, 3812-3819 is available at https://doi.org/10.1016/j.promfg.2015.07.884 | en_US |
dc.subject | Human body modelling | en_US |
dc.subject | Computer graphics | en_US |
dc.subject | Deformation technology | en_US |
dc.subject | Artificial neural networks | en_US |
dc.title | Predicting realistic and precise human body models under clothing based on orthogonal-view photos | en_US |
dc.type | Conference Paper | en_US |
dc.identifier.spage | 3812 | - |
dc.identifier.epage | 3819 | - |
dc.identifier.volume | 3 | - |
dc.identifier.doi | 10.1016/j.promfg.2015.07.884 | - |
dcterms.abstract | Accurate and realistic digital human body models are required by many research applications, for example in the areas of ergonomics, clothing technology, and computer graphics. The already difficult research problem becomes more challenging if the individual subjects to be modelled are dressed in normal or loose-fit clothing. In this study, we present an intelligent two-phase method to customize 3D digital human body models based on two orthogonal-view photos of the customers. It integrates both image-based and example-based modelling techniques to create human body models for individual customers with precise body measurements and realistic appearance. It fills up the research gap of human model customization; without the need of taking body scan, any customers can create their 3D digital body models only based on their orthogonal-view photos in normal or loosefit clothing. Experimental results have shown that the proposed method can efficiently and accurately customize human models of diverse shapes, meeting the specific needs of the clothing industry. | - |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | Procedia manufacturing, 2015, v. 3, p. 3812-3819 | - |
dcterms.isPartOf | Procedia manufacturing | - |
dcterms.issued | 2015 | - |
dc.relation.conference | International Conference on Applied Human Factors and Ergonomics [AHFE] | - |
dc.identifier.rosgroupid | 2015005706 | - |
dc.description.ros | 2015-2016 > Academic research: refereed > Refereed conference paper | - |
dc.description.oa | Version of Record | en_US |
dc.identifier.FolderNumber | OA_IR/PIRA | en_US |
dc.description.pubStatus | Published | en_US |
dc.description.oaCategory | CC | en_US |
Appears in Collections: | Conference Paper |
Files in This Item:
File | Description | Size | Format | |
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Zhu_Predicting_Realistic_Precise.pdf | 610.65 kB | Adobe PDF | View/Open |
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