{"id":"https://openalex.org/W2784306541","doi":"https://doi.org/10.3233/ica-180560","title":"Regional parallel structure based CNN for thermal infrared face identification","display_name":"Regional parallel structure based CNN for thermal infrared face identification","publication_year":2018,"publication_date":"2018-01-19","ids":{"openalex":"https://openalex.org/W2784306541","doi":"https://doi.org/10.3233/ica-180560","mag":"2784306541"},"language":"en","primary_location":{"id":"doi:10.3233/ica-180560","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ica-180560","pdf_url":null,"source":{"id":"https://openalex.org/S107631664","display_name":"Integrated Computer-Aided Engineering","issn_l":"1069-2509","issn":["1069-2509","1875-8835"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Integrated Computer-Aided Engineering","raw_type":"journal-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/A5101779357","display_name":"Peng Wang","orcid":"https://orcid.org/0000-0003-0278-7743"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Wang","raw_affiliation_strings":["Image Processing Center, Beijing University of Aeronautics and Astronautics, Beijing 100191, China"],"affiliations":[{"raw_affiliation_string":"Image Processing Center, Beijing University of Aeronautics and Astronautics, Beijing 100191, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043001105","display_name":"Xiangzhi Bai","orcid":"https://orcid.org/0000-0002-6115-8237"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiangzhi Bai","raw_affiliation_strings":["Image Processing Center, Beijing University of Aeronautics and Astronautics, Beijing 100191, China","State Key Laboratory of Virtual Reality Technology and Systems, Beijing University of Aeronautics and Astronautics, Beijing 100191, China"],"affiliations":[{"raw_affiliation_string":"Image Processing Center, Beijing University of Aeronautics and Astronautics, Beijing 100191, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"State Key Laboratory of Virtual Reality Technology and Systems, Beijing University of Aeronautics and Astronautics, Beijing 100191, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5043001105"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":4.8051,"has_fulltext":false,"cited_by_count":66,"citation_normalized_percentile":{"value":0.96433137,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":"25","issue":"3","first_page":"247","last_page":"260"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","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/T10057","display_name":"Face and Expression Recognition","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/T11448","display_name":"Face recognition and analysis","score":0.9951000213623047,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9884999990463257,"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7777937650680542},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7532209157943726},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7118099927902222},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6891003251075745},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.671533465385437},{"id":"https://openalex.org/keywords/infrared","display_name":"Infrared","score":0.615048348903656},{"id":"https://openalex.org/keywords/thermal-infrared","display_name":"Thermal infrared","score":0.5893409252166748},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5696871280670166},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5161515474319458},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.48470306396484375},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4708670675754547},{"id":"https://openalex.org/keywords/net","display_name":"Net (polyhedron)","score":0.45269256830215454},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.43233418464660645},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41421952843666077},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16768628358840942},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.0718410313129425},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06823033094406128},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.066377192735672}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7777937650680542},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7532209157943726},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7118099927902222},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6891003251075745},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.671533465385437},{"id":"https://openalex.org/C158355884","wikidata":"https://www.wikidata.org/wiki/Q11388","display_name":"Infrared","level":2,"score":0.615048348903656},{"id":"https://openalex.org/C2984335091","wikidata":"https://www.wikidata.org/wiki/Q11388","display_name":"Thermal infrared","level":3,"score":0.5893409252166748},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5696871280670166},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5161515474319458},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.48470306396484375},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4708670675754547},{"id":"https://openalex.org/C14166107","wikidata":"https://www.wikidata.org/wiki/Q253829","display_name":"Net (polyhedron)","level":2,"score":0.45269256830215454},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.43233418464660645},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41421952843666077},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16768628358840942},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0718410313129425},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06823033094406128},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.066377192735672},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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/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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/ica-180560","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ica-180560","pdf_url":null,"source":{"id":"https://openalex.org/S107631664","display_name":"Integrated Computer-Aided Engineering","issn_l":"1069-2509","issn":["1069-2509","1875-8835"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Integrated Computer-Aided Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W53202137","https://openalex.org/W114476996","https://openalex.org/W170472577","https://openalex.org/W172320058","https://openalex.org/W1594260549","https://openalex.org/W1686810756","https://openalex.org/W1895390915","https://openalex.org/W1903029394","https://openalex.org/W1904365287","https://openalex.org/W1977614468","https://openalex.org/W1998808035","https://openalex.org/W2012130731","https://openalex.org/W2013661714","https://openalex.org/W2032884192","https://openalex.org/W2044632064","https://openalex.org/W2057516871","https://openalex.org/W2059122306","https://openalex.org/W2067755824","https://openalex.org/W2075933837","https://openalex.org/W2097117768","https://openalex.org/W2100495367","https://openalex.org/W2108729336","https://openalex.org/W2119821739","https://openalex.org/W2122111042","https://openalex.org/W2126653386","https://openalex.org/W2140609507","https://openalex.org/W2144172034","https://openalex.org/W2145287260","https://openalex.org/W2150796457","https://openalex.org/W2153169342","https://openalex.org/W2155164840","https://openalex.org/W2155893237","https://openalex.org/W2156404139","https://openalex.org/W2161969291","https://openalex.org/W2163352848","https://openalex.org/W2163605009","https://openalex.org/W2193145675","https://openalex.org/W2268606897","https://openalex.org/W2342435194","https://openalex.org/W2412782625","https://openalex.org/W2482241782","https://openalex.org/W2574750030","https://openalex.org/W2586537367","https://openalex.org/W2604970008","https://openalex.org/W2729478895","https://openalex.org/W2747308919","https://openalex.org/W2760686346","https://openalex.org/W2761455903","https://openalex.org/W2767522444","https://openalex.org/W2911964244","https://openalex.org/W2952309299","https://openalex.org/W3106250896","https://openalex.org/W3120421331","https://openalex.org/W3145298090","https://openalex.org/W4239510810"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W2090763504","https://openalex.org/W2912321008","https://openalex.org/W148178222","https://openalex.org/W150363521","https://openalex.org/W1948992892","https://openalex.org/W2104657898","https://openalex.org/W2324368075","https://openalex.org/W1886884218","https://openalex.org/W2885713274"],"abstract_inverted_index":{"The":[0,93],"convolutional":[1],"neural":[2],"network,":[3],"based":[4,24,65,102],"on":[5,25,66,103],"multi-scale":[6,63],"features,":[7],"is":[8,22,59,130],"introduced":[9],"to":[10,61],"thermal":[11,28,36,135],"infrared":[12,29,37,136],"face":[13,137],"identification":[14],"in":[15],"this":[16],"paper.":[17],"A":[18,51],"novel":[19],"CNN":[20,55,112],"structure":[21],"proposed":[23,60],"characteristics":[26],"of":[27,85],"faces.":[30],"To":[31],"enhance":[32],"and":[33,73,88,108,110,120,132],"extract":[34],"inconspicuous":[35],"facial":[38],"features":[39,64,105],"for":[40,134],"ident":[41],"ification,":[42],"convoluted":[43],"edges":[44],"are":[45,71],"taken":[46],"as":[47],"the":[48],"initial":[49],"features.":[50,126],"regional":[52],"parallel":[53],"structured":[54],"algorithm":[56],"(RPS":[57],"net)":[58],"obtain":[62],"edge":[67],"information.":[68],"Extensive":[69],"experiments":[70],"conducted":[72],"analyzed,":[74],"including":[75],"statistical":[76],"test":[77],"with":[78,123],"various":[79,91],"classifiers,":[80],"feature":[81],"vector":[82],"property,":[83],"accuracies":[84],"each":[86],"class":[87],"robustness":[89],"against":[90],"noise.":[92],"experimental":[94],"result":[95],"indicates":[96],"that":[97],"RPS":[98,128],"net":[99,119,129],"overtakes":[100],"algorithms":[101,113],"traditional":[104],"(HoG,":[106],"Fisherface":[107],"LBP)":[109],"some":[111],"(Alex":[114],"net,":[115,117],"VGG":[116],"DeepID":[118],"TFR":[121],"net),":[122],"high":[124],"quality":[125],"Therefore,":[127],"effective":[131],"robust":[133],"identification.":[138]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":23},{"year":2019,"cited_by_count":18}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}