{"id":"https://openalex.org/W2738187997","doi":"https://doi.org/10.1109/cybconf.2017.7985795","title":"Multiscale Feature Fusion for Face Identification","display_name":"Multiscale Feature Fusion for Face Identification","publication_year":2017,"publication_date":"2017-06-01","ids":{"openalex":"https://openalex.org/W2738187997","doi":"https://doi.org/10.1109/cybconf.2017.7985795","mag":"2738187997"},"language":"en","primary_location":{"id":"doi:10.1109/cybconf.2017.7985795","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cybconf.2017.7985795","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 3rd IEEE International Conference on Cybernetics (CYBCONF)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5012322206","display_name":"Xin Wei","orcid":"https://orcid.org/0000-0003-0976-3381"},"institutions":[{"id":"https://openalex.org/I138801177","display_name":"University of Ulster","ror":"https://ror.org/01yp9g959","country_code":"GB","type":"education","lineage":["https://openalex.org/I138801177"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Xin Wei","raw_affiliation_strings":["School of Computing and Mathematics, Ulster University, UK"],"affiliations":[{"raw_affiliation_string":"School of Computing and Mathematics, Ulster University, UK","institution_ids":["https://openalex.org/I138801177"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100460917","display_name":"Hui Wang","orcid":"https://orcid.org/0000-0003-2633-6015"},"institutions":[{"id":"https://openalex.org/I138801177","display_name":"University of Ulster","ror":"https://ror.org/01yp9g959","country_code":"GB","type":"education","lineage":["https://openalex.org/I138801177"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Hui Wang","raw_affiliation_strings":["School of Computing and Mathematics, Ulster University, UK"],"affiliations":[{"raw_affiliation_string":"School of Computing and Mathematics, Ulster University, UK","institution_ids":["https://openalex.org/I138801177"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020556220","display_name":"Huan Wan","orcid":"https://orcid.org/0000-0002-8722-663X"},"institutions":[{"id":"https://openalex.org/I138801177","display_name":"University of Ulster","ror":"https://ror.org/01yp9g959","country_code":"GB","type":"education","lineage":["https://openalex.org/I138801177"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Huan Wan","raw_affiliation_strings":["School of Computing and Mathematics, Ulster University, UK"],"affiliations":[{"raw_affiliation_string":"School of Computing and Mathematics, Ulster University, UK","institution_ids":["https://openalex.org/I138801177"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025293749","display_name":"Bryan Scotney","orcid":"https://orcid.org/0000-0002-8243-2223"},"institutions":[{"id":"https://openalex.org/I138801177","display_name":"University of Ulster","ror":"https://ror.org/01yp9g959","country_code":"GB","type":"education","lineage":["https://openalex.org/I138801177"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Bryan Scotney","raw_affiliation_strings":["School of Computing and Mathematics, Ulster University, UK"],"affiliations":[{"raw_affiliation_string":"School of Computing and Mathematics, Ulster University, UK","institution_ids":["https://openalex.org/I138801177"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5012322206"],"corresponding_institution_ids":["https://openalex.org/I138801177"],"apc_list":null,"apc_paid":null,"fwci":0.1847,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.56755935,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"22","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9900000095367432,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9865000247955322,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/local-binary-patterns","display_name":"Local binary patterns","score":0.8047791719436646},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.785864531993866},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7151612043380737},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7061132192611694},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.64039146900177},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.5964510440826416},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5778615474700928},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5741016864776611},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5662675499916077},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.5272000432014465},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5261397361755371},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.44065776467323303},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.42528843879699707},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.42198699712753296},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.41740691661834717},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.23667606711387634}],"concepts":[{"id":"https://openalex.org/C87335442","wikidata":"https://www.wikidata.org/wiki/Q2494345","display_name":"Local binary patterns","level":4,"score":0.8047791719436646},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.785864531993866},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7151612043380737},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7061132192611694},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.64039146900177},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.5964510440826416},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5778615474700928},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5741016864776611},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5662675499916077},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.5272000432014465},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5261397361755371},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.44065776467323303},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.42528843879699707},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.42198699712753296},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.41740691661834717},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.23667606711387634},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cybconf.2017.7985795","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cybconf.2017.7985795","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 3rd IEEE International Conference on Cybernetics (CYBCONF)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.qub.ac.uk/portal:publications/9a2b8e27-6b71-45d6-889d-31b76a60c100","is_oa":false,"landing_page_url":"https://pure.qub.ac.uk/en/publications/9a2b8e27-6b71-45d6-889d-31b76a60c100","pdf_url":null,"source":{"id":"https://openalex.org/S4306402319","display_name":"Research Portal (Queen's University Belfast)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I126231945","host_organization_name":"Queen's University Belfast","host_organization_lineage":["https://openalex.org/I126231945"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Wei , X , Wang , H , Wan , H & Scotney , B 2017 , ' Multiscale Feature Fusion for Face Identification ' . https://doi.org/10.1109/CYBConf.2017.7985795","raw_type":"conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320326546","display_name":"Fujian Normal University","ror":"https://ror.org/020azk594"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1602485673","https://openalex.org/W1912152531","https://openalex.org/W1987040027","https://openalex.org/W1989085630","https://openalex.org/W1996278907","https://openalex.org/W2000797731","https://openalex.org/W2012352340","https://openalex.org/W2022211506","https://openalex.org/W2033419168","https://openalex.org/W2045630464","https://openalex.org/W2053101950","https://openalex.org/W2075772568","https://openalex.org/W2098693229","https://openalex.org/W2100065523","https://openalex.org/W2102544846","https://openalex.org/W2113588862","https://openalex.org/W2117152910","https://openalex.org/W2121219287","https://openalex.org/W2121647436","https://openalex.org/W2124404372","https://openalex.org/W2132308301","https://openalex.org/W2136461127","https://openalex.org/W2140959843","https://openalex.org/W2142704643","https://openalex.org/W2147141800","https://openalex.org/W2151103935","https://openalex.org/W2161969291","https://openalex.org/W2163352848","https://openalex.org/W2163808566","https://openalex.org/W2165731615","https://openalex.org/W2483499652","https://openalex.org/W2994340921","https://openalex.org/W6635552349","https://openalex.org/W6683411478"],"related_works":["https://openalex.org/W2788731446","https://openalex.org/W1999808563","https://openalex.org/W2204403038","https://openalex.org/W3152170969","https://openalex.org/W2379054866","https://openalex.org/W2549658594","https://openalex.org/W2370195708","https://openalex.org/W1490651872","https://openalex.org/W2139242969","https://openalex.org/W2284201331"],"abstract_inverted_index":{"Over":[0],"the":[1,103,108,115,162,182,187],"past":[2],"20":[3],"years,":[4],"information":[5,30,34,66,73],"fusion":[6,31,67,150],"has":[7,12,158],"seen":[8],"rapid":[9],"development":[10],"and":[11,21,100,165],"been":[13,159],"used":[14,142],"in":[15,49,186],"many":[16],"applications,":[17],"including":[18],"pattern":[19],"recognition":[20,54],"computer":[22],"vision.":[23],"Multi-modal":[24],"biometrics":[25],"is":[26,47,90,140],"one":[27],"form":[28],"of":[29,38,78,88,114],"where":[32,71],"biometric":[33],"from":[35,74],"different":[36,85,112,124,128],"modes":[37],"input":[39,79],"(e.g.,":[40],"finger":[41],"print,":[42],"iris":[43],"image,":[44],"face":[45,69,144,167],"image)":[46,83],"fused":[48],"order":[50],"to":[51,64,106,119],"achieve":[52],"superior":[53,176],"performance.":[55],"In":[56],"this":[57,149],"paper":[58],"we":[59],"propose":[60],"a":[61,75,81],"novel":[62],"approach":[63],"multiscale":[65],"for":[68,143],"identification":[70],"facial":[72],"single":[76,82],"mode":[77],"(i.e.":[80],"at":[84,123],"spatial":[86,109,125],"scales":[87],"focus":[89],"fused.":[91],"We":[92,147],"consider":[93],"Local":[94],"Binary":[95],"Pattern":[96],"(LBP)":[97],"image":[98,136,145,168],"descriptor,":[99],"carefully":[101],"choose":[102],"LBP":[104,116,120,129],"parameters":[105,117],"decide":[107],"scale.":[110],"Thus":[111],"values":[113],"lead":[118],"feature":[121,130],"vectors":[122,131],"scales.":[126],"These":[127],"are":[132],"`fused'":[133],"through":[134],"an":[135],"distance":[137],"function,":[138],"which":[139],"then":[141],"classification.":[146],"call":[148],"method":[151],"Multiscale":[152],"Feature":[153],"Fusion":[154],"(MFF).":[155],"Extensive":[156],"experimentation":[157],"conducted":[160],"on":[161],"ORL,":[163],"AR":[164],"FERET":[166],"databases.":[169],"Results":[170],"show":[171],"MFF":[172],"does":[173],"indeed":[174],"produce":[175],"classification":[177],"performance":[178],"when":[179],"compared":[180],"with":[181],"best":[183],"results":[184],"reported":[185],"literature.":[188]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}