{"id":"https://openalex.org/W3005838759","doi":"https://doi.org/10.1109/icb45273.2019.8987272","title":"OGCTL: Occlusion-guided compact template learning for ensemble deep network-based pose-invariant face recognition","display_name":"OGCTL: Occlusion-guided compact template learning for ensemble deep network-based pose-invariant face recognition","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W3005838759","doi":"https://doi.org/10.1109/icb45273.2019.8987272","mag":"3005838759"},"language":"en","primary_location":{"id":"doi:10.1109/icb45273.2019.8987272","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icb45273.2019.8987272","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Biometrics (ICB)","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/A5081197053","display_name":"Yuhang Wu","orcid":"https://orcid.org/0000-0002-0641-9107"},"institutions":[{"id":"https://openalex.org/I4210118299","display_name":"Institute for Biomedicine","ror":"https://ror.org/02hsggv49","country_code":"IT","type":"facility","lineage":["https://openalex.org/I1319360392","https://openalex.org/I4210118299"]},{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["IT","US"],"is_corresponding":false,"raw_author_name":"Yuhang Wu","raw_affiliation_strings":["University of Houston,Computational Biomedicine Lab","Computational Biomedicine Lab, University of Houston"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Houston,Computational Biomedicine Lab","institution_ids":["https://openalex.org/I4210118299"]},{"raw_affiliation_string":"Computational Biomedicine Lab, University of Houston","institution_ids":["https://openalex.org/I44461941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031773367","display_name":"Ioannis A. Kakadiaris","orcid":"https://orcid.org/0000-0002-0591-1079"},"institutions":[{"id":"https://openalex.org/I4210118299","display_name":"Institute for Biomedicine","ror":"https://ror.org/02hsggv49","country_code":"IT","type":"facility","lineage":["https://openalex.org/I1319360392","https://openalex.org/I4210118299"]},{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["IT","US"],"is_corresponding":false,"raw_author_name":"Ioannis A. Kakadiaris","raw_affiliation_strings":["University of Houston,Computational Biomedicine Lab","Computational Biomedicine Lab, University of Houston"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Houston,Computational Biomedicine Lab","institution_ids":["https://openalex.org/I4210118299"]},{"raw_affiliation_string":"Computational Biomedicine Lab, University of Houston","institution_ids":["https://openalex.org/I44461941"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.17827956,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":1.0,"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":1.0,"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":0.9986000061035156,"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":0.9962000250816345,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7879666090011597},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.746434211730957},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.6825869679450989},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6448311805725098},{"id":"https://openalex.org/keywords/concatenation","display_name":"Concatenation (mathematics)","score":0.5741499662399292},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5490383505821228},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5274978876113892},{"id":"https://openalex.org/keywords/template-matching","display_name":"Template matching","score":0.5025427341461182},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.43331676721572876},{"id":"https://openalex.org/keywords/occlusion","display_name":"Occlusion","score":0.4295492470264435},{"id":"https://openalex.org/keywords/template","display_name":"Template","score":0.4111095070838928},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3156335949897766},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17173567414283752}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7879666090011597},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.746434211730957},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.6825869679450989},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6448311805725098},{"id":"https://openalex.org/C87619178","wikidata":"https://www.wikidata.org/wiki/Q126002","display_name":"Concatenation (mathematics)","level":2,"score":0.5741499662399292},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5490383505821228},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5274978876113892},{"id":"https://openalex.org/C158096908","wikidata":"https://www.wikidata.org/wiki/Q3983303","display_name":"Template matching","level":3,"score":0.5025427341461182},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.43331676721572876},{"id":"https://openalex.org/C2776268601","wikidata":"https://www.wikidata.org/wiki/Q968808","display_name":"Occlusion","level":2,"score":0.4295492470264435},{"id":"https://openalex.org/C82714645","wikidata":"https://www.wikidata.org/wiki/Q438331","display_name":"Template","level":2,"score":0.4111095070838928},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3156335949897766},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17173567414283752},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","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/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icb45273.2019.8987272","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icb45273.2019.8987272","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Biometrics (ICB)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1622838444","https://openalex.org/W1677182931","https://openalex.org/W1703179648","https://openalex.org/W1782590233","https://openalex.org/W1836465849","https://openalex.org/W1841592590","https://openalex.org/W1949778830","https://openalex.org/W1998808035","https://openalex.org/W2053544201","https://openalex.org/W2096733369","https://openalex.org/W2119633713","https://openalex.org/W2124509324","https://openalex.org/W2140112037","https://openalex.org/W2140609507","https://openalex.org/W2144172034","https://openalex.org/W2148694408","https://openalex.org/W2166743687","https://openalex.org/W2201488094","https://openalex.org/W2302255633","https://openalex.org/W2401696618","https://openalex.org/W2405000682","https://openalex.org/W2464026376","https://openalex.org/W2480418144","https://openalex.org/W2530345236","https://openalex.org/W2605701576","https://openalex.org/W2606181163","https://openalex.org/W2620727906","https://openalex.org/W2726427712","https://openalex.org/W2736633948","https://openalex.org/W2740912563","https://openalex.org/W2770880454","https://openalex.org/W2785366559","https://openalex.org/W2871667416","https://openalex.org/W2962975612","https://openalex.org/W2963374099","https://openalex.org/W2963466847","https://openalex.org/W2963839617","https://openalex.org/W2964121744","https://openalex.org/W3099206234","https://openalex.org/W4292023222","https://openalex.org/W6631190155","https://openalex.org/W6638667902","https://openalex.org/W6638783484","https://openalex.org/W6680902425","https://openalex.org/W6681239517","https://openalex.org/W6753064642"],"related_works":["https://openalex.org/W2361315595","https://openalex.org/W2602219756","https://openalex.org/W2092361839","https://openalex.org/W2360986010","https://openalex.org/W2383447469","https://openalex.org/W2371197140","https://openalex.org/W2012236123","https://openalex.org/W9684605","https://openalex.org/W1605702723","https://openalex.org/W2089779414"],"abstract_inverted_index":{"Concatenation":[0],"of":[1,36,45,84,112],"the":[2,18,34,37,42,46,64,71,82,91,100,122],"deep":[3],"network":[4],"representations":[5],"extracted":[6],"from":[7,66,102],"different":[8,103],"facial":[9,20,38,47,92],"patches":[10,68,85],"helps":[11],"to":[12,32,69,81,89],"improve":[13],"face":[14,76,109,117,137],"recognition":[15],"performance.":[16],"However,":[17],"concatenated":[19],"template":[21,39,57,129,146],"increases":[22],"in":[23,116,128],"size":[24,147],"and":[25,94,131],"contains":[26],"redundant":[27],"information.":[28],"Previous":[29],"solutions":[30],"aim":[31],"reduce":[33],"dimensionality":[35],"without":[40],"considering":[41],"occlusion":[43,114,126],"pattern":[44],"patches.":[48],"In":[49],"this":[50],"paper,":[51],"we":[52],"propose":[53],"an":[54,150],"occlusion-guided":[55],"compact":[56,72,75],"learning":[58],"(OGCTL)":[59],"approach":[60],"that":[61,86,148],"only":[62],"uses":[63,125],"information":[65,101],"visible":[67],"construct":[70,90],"template.":[73],"The":[74],"representation":[77],"is":[78,95,149],"not":[79],"sensitive":[80],"number":[83],"are":[87],"used":[88],"template,":[93],"more":[96],"suitable":[97],"for":[98,106],"incorporating":[99],"view":[104],"angles":[105],"image-set":[107,135],"based":[108,136],"recognition.":[110],"Instead":[111],"using":[113],"masks":[115,127],"matching":[118],"(e.g.,":[119],"DPRFS":[120],"[38]),":[121],"proposed":[123],"method":[124],"construction":[130],"achieves":[132],"significantly":[133],"better":[134],"verification":[138],"performance":[139],"on":[140],"a":[141,145],"challenging":[142],"database":[143],"with":[144],"order-of-magnitude":[151],"smaller":[152],"than":[153],"DPRFS.":[154]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-17T08:01:34.144755","created_date":"2025-10-10T00:00:00"}