Multilevel active registration for kinect human body scans: from low quality to high quality
| dc.contributor.author | Xu, Z | en_US |
| dc.contributor.author | Zhang, Q | en_US |
| dc.contributor.author | Cheng, S | en_US |
| dc.date.accessioned | 2019-11-07T14:36:06Z | |
| dc.date.available | 2017-02-07 | en_US |
| dc.date.issued | 2018-06 | en_US |
| dc.identifier.issn | 0942-4962 | en_US |
| dc.identifier.uri | https://qmro.qmul.ac.uk/xmlui/handle/123456789/61229 | |
| dc.format.extent | 257 - 270 | en_US |
| dc.relation.ispartof | MULTIMEDIA SYSTEMS | en_US |
| dc.rights | This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. | |
| dc.rights | Attribution 3.0 United States | * |
| dc.rights.uri | http://creativecommons.org/licenses/by/3.0/us/ | * |
| dc.subject | Human body modeling | en_US |
| dc.subject | Statistical shape model | en_US |
| dc.subject | Non-rigid registration | en_US |
| dc.title | Multilevel active registration for kinect human body scans: from low quality to high quality | en_US |
| dc.type | Article | |
| dc.rights.holder | © The Author(s) 2017 | |
| dc.identifier.doi | 10.1007/s00530-017-0541-1 | en_US |
| pubs.author-url | http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000434467100002&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=612ae0d773dcbdba3046f6df545e9f6a | en_US |
| pubs.issue | 3 | en_US |
| pubs.notes | Not known | en_US |
| pubs.publication-status | Published | en_US |
| pubs.volume | 24 | en_US |
| rioxxterms.funder | Default funder | en_US |
| rioxxterms.identifier.project | Default project | en_US |
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Except where otherwise noted, this item's license is described as This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
