{"id":"https://openalex.org/W3006796785","doi":"https://doi.org/10.1109/ssci44817.2019.9003045","title":"Face Recognition Based on Global and Local Feature Fusion","display_name":"Face Recognition Based on Global and Local Feature Fusion","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3006796785","doi":"https://doi.org/10.1109/ssci44817.2019.9003045","mag":"3006796785"},"language":"en","primary_location":{"id":"doi:10.1109/ssci44817.2019.9003045","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci44817.2019.9003045","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Symposium Series on Computational Intelligence (SSCI)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5004252848","display_name":"You Zhou","orcid":"https://orcid.org/0000-0003-1755-9073"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"You Zhou","raw_affiliation_strings":["School of Automation, Xi\u2019an university of posts & telecommunications, Xi'an, China","School of Automation, Xi'an university of posts & telecommunications, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Xi\u2019an university of posts & telecommunications, Xi'an, China","institution_ids":["https://openalex.org/I4210136859"]},{"raw_affiliation_string":"School of Automation, Xi'an university of posts & telecommunications, Xi'an, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044039074","display_name":"Yiyue Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiyue Liu","raw_affiliation_strings":["School of Automation, Xi\u2019an university of posts & telecommunications, Xi'an, China","School of Automation, Xi'an university of posts & telecommunications, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Xi\u2019an university of posts & telecommunications, Xi'an, China","institution_ids":["https://openalex.org/I4210136859"]},{"raw_affiliation_string":"School of Automation, Xi'an university of posts & telecommunications, Xi'an, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100549520","display_name":"Guijin Han","orcid":null},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guijin Han","raw_affiliation_strings":["School of Automation, Xi\u2019an university of posts & telecommunications, Xi'an, China","School of Automation, Xi'an university of posts & telecommunications, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Xi\u2019an university of posts & telecommunications, Xi'an, China","institution_ids":["https://openalex.org/I4210136859"]},{"raw_affiliation_string":"School of Automation, Xi'an university of posts & telecommunications, Xi'an, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101854253","display_name":"Zichao Zhang","orcid":"https://orcid.org/0000-0003-2137-563X"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zichao Zhang","raw_affiliation_strings":["School of Automation, Xi\u2019an university of posts & telecommunications, Xi'an, China","School of Automation, Xi'an university of posts & telecommunications, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Xi\u2019an university of posts & telecommunications, Xi'an, China","institution_ids":["https://openalex.org/I4210136859"]},{"raw_affiliation_string":"School of Automation, Xi'an university of posts & telecommunications, Xi'an, China","institution_ids":["https://openalex.org/I4210136859"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210136859"],"apc_list":null,"apc_paid":null,"fwci":0.366,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.68119417,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2771","last_page":"2775"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9980999827384949,"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/T11448","display_name":"Face recognition and analysis","score":0.9980999827384949,"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/T10057","display_name":"Face and Expression Recognition","score":0.9954000115394592,"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":0.9642000198364258,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.836502194404602},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7564780712127686},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7520424127578735},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.7259997129440308},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7176948189735413},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6890467405319214},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5930836796760559},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.5352129936218262},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5331254601478577},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.5043388605117798},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.477832555770874},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.45743778347969055},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4233444333076477},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.4121444821357727},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06838449835777283}],"concepts":[{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.836502194404602},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7564780712127686},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7520424127578735},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.7259997129440308},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7176948189735413},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6890467405319214},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5930836796760559},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.5352129936218262},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5331254601478577},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.5043388605117798},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.477832555770874},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.45743778347969055},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4233444333076477},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.4121444821357727},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06838449835777283},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"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/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"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/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"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/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ssci44817.2019.9003045","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci44817.2019.9003045","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Symposium Series on Computational Intelligence (SSCI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.41999998688697815,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1979156432","https://openalex.org/W1989702938","https://openalex.org/W2009254375","https://openalex.org/W2039637513","https://openalex.org/W2040632535","https://openalex.org/W2053186076","https://openalex.org/W2075972813","https://openalex.org/W2096733369","https://openalex.org/W2098693229","https://openalex.org/W2107542203","https://openalex.org/W2121647436","https://openalex.org/W2964290344","https://openalex.org/W3147388031","https://openalex.org/W4297686248","https://openalex.org/W6696790684"],"related_works":["https://openalex.org/W2354322770","https://openalex.org/W3000097931","https://openalex.org/W4237547500","https://openalex.org/W1570848052","https://openalex.org/W2373192430","https://openalex.org/W2388958958","https://openalex.org/W1971268144","https://openalex.org/W1585144779","https://openalex.org/W4390606538","https://openalex.org/W2985118265"],"abstract_inverted_index":{"In":[0,23],"the":[1,7,15,30,58,62,66,69,73,78,85,94,98],"training":[2],"process":[3],"of":[4,17,29,33,36,50,61,65,80,88],"face":[5],"images,":[6],"traditional":[8],"convolutional":[9,21,39],"neural":[10,40],"network":[11,41,52,67,101],"does":[12],"not":[13],"fuse":[14],"information":[16,32,95],"high":[18],"and":[19,46,93],"low":[20],"layers.":[22],"order":[24],"to":[25],"make":[26],"full":[27],"use":[28],"feature":[31,48],"each":[34],"layer":[35,64],"image,":[37],"a":[38],"model":[42],"based":[43],"on":[44],"global":[45,70],"local":[47,59],"fusion":[49],"MobileNet":[51,100],"is":[53,83,91,102],"proposed.":[54],"The":[55],"algorithm":[56],"fuses":[57],"features":[60,71,82,90],"first":[63],"with":[68],"after":[72],"principal":[74],"component":[75],"analysis.":[76],"Thus,":[77],"expression":[79],"shallow":[81],"increased,":[84],"extraction":[86],"effect":[87],"deep":[89],"strengthened,":[92],"extracted":[96],"by":[97],"improved":[99],"more":[103],"complete.":[104]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}