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Please use this identifier to cite or link to this item: https://repository.cihe.edu.hk/jspui/handle/cihe/858
DC FieldValueLanguage
dc.contributor.authorPang, Raymond Wai Manen_US
dc.contributor.otherLiang, L.-
dc.contributor.otherWei, M.-
dc.contributor.otherSzymczak, A.-
dc.contributor.otherWang, M.-
dc.date.accessioned2021-07-12T06:19:44Z-
dc.date.available2021-07-12T06:19:44Z-
dc.date.issued2016-
dc.identifier.urihttps://repository.cihe.edu.hk/jspui/handle/cihe/858-
dc.description.abstractSpin image is a powerful shape descriptor, useful in a point set or surface registration. However, the usage of spin images is hampered by issues such as sensitivity to noise and sampling rate and time-consuming matching process. We propose a novel spin-image-based local surface descriptor named spin contour to alleviate these problems. This descriptor is not an image but a 2-D point set. Comparisons show that the spin contour is robust to noise and sampling differences. The matching time is also improved over spin images.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartofIEEE Transactions on Multimediaen_US
dc.titleSpin contouren_US
dc.typejournal articleen_US
dc.identifier.doi10.1109/TMM.2016.2614219-
dc.contributor.affiliationSchool of Computing and Information Sciencesen_US
dc.relation.issn1941-0077en_US
dc.description.volume18en_US
dc.description.issue11en_US
dc.description.startpage2282en_US
dc.description.endpage2292en_US
dc.cihe.affiliatedYes-
item.languageiso639-1en-
item.fulltextNo Fulltext-
item.openairetypejournal article-
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.cerifentitytypePublications-
crisitem.author.deptYam Pak Charitable Foundation School of Computing and Information Sciences-
Appears in Collections:CIS Publication
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