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CPU and GPU real-time filtering methods for dense surface metrology using general matrix to matrix multiplications

dc.contributor.authorUsamentiaga Fernández, Rubén 
dc.date.accessioned2022-10-25T11:10:03Z
dc.date.available2022-10-25T11:10:03Z
dc.date.issued2022
dc.identifier.citationJournal of Real-Time Image Processing, 19, p. 517-527 (2022); doi:10.1007/s11554-022-01204-4
dc.identifier.issn1861-8200
dc.identifier.urihttp://hdl.handle.net/10651/65074
dc.format.extentp. 517-527
dc.language.isoeng
dc.relation.ispartofJournal of real-time image processing
dc.rights© 2022 Los autores
dc.rightsCC Reconocimiento 4.0 Internacional
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourceScopus
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85124832121&doi=10.1007%2fs11554-022-01204-4&partnerID=40&md5=a0683f94810622b1b90df1dcfe9ab847
dc.titleCPU and GPU real-time filtering methods for dense surface metrology using general matrix to matrix multiplications
dc.typejournal article
dc.identifier.doi10.1007/s11554-022-01204-4
dc.local.notesOA ATUO22
dc.relation.publisherversionhttp://dx.doi.org/10.1007/s11554-022-01204-4
dc.rights.accessRightsopen access
dc.type.hasVersionVoR


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