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Feature Preserving Non-Rigid Iterative Weighted Closest Point and Semi-Curvature Registration

 
dc.contributor.authorTajdari, Farzam
dc.contributor.authorHuysmans, Toon
dc.contributor.authorYang, Yusheng
dc.contributor.authorSong, Yu
dc.contributor.imecauthorHuysmans, Toon
dc.contributor.orcidextTajdari, Farzam::0000-0001-7378-0368
dc.contributor.orcidextYang, Yusheng::0000-0001-6762-4158
dc.contributor.orcidextSong, Yu::0000-0002-9542-1312
dc.contributor.orcidimecHuysmans, Toon::0000-0001-7053-6458
dc.date.accessioned2023-06-29T14:04:19Z
dc.date.available2023-06-20T10:35:23Z
dc.date.available2023-06-29T14:04:19Z
dc.date.embargo2022-02-09
dc.date.issued2022
dc.description.wosFundingTextThis work was supported by the Dutch NWO Next UPPS-Integrated Design Methodology for Ultra Personalized Products and Services Project under Grant 15470.
dc.identifier.doi10.1109/TIP.2022.3148822
dc.identifier.issn1057-7149
dc.identifier.pmidMEDLINE:35139017
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/41886
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.source.beginpage1841
dc.source.endpage1856
dc.source.issuena
dc.source.journalIEEE TRANSACTIONS ON IMAGE PROCESSING
dc.source.numberofpages16
dc.source.volume31
dc.subject.keywordsALGORITHM
dc.subject.keywordsMESHES
dc.subject.keywordsHEAD
dc.title

Feature Preserving Non-Rigid Iterative Weighted Closest Point and Semi-Curvature Registration

dc.typeJournal article
dspace.entity.typePublication
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