{"id":"https://openalex.org/W2794012254","doi":"https://doi.org/10.1109/spac.2017.8304354","title":"A face recognition method based on residual image representation and feature extraction","display_name":"A face recognition method based on residual image representation and feature extraction","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2794012254","doi":"https://doi.org/10.1109/spac.2017.8304354","mag":"2794012254"},"language":"en","primary_location":{"id":"doi:10.1109/spac.2017.8304354","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spac.2017.8304354","pdf_url":null,"source":{"id":"https://openalex.org/S4306498208","display_name":"2017 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)","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/A5103142759","display_name":"Linghui Liu","orcid":"https://orcid.org/0000-0002-9849-5595"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linghui Liu","raw_affiliation_strings":["College of Software Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Software Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066788312","display_name":"Xiao Luan","orcid":"https://orcid.org/0000-0003-0010-7361"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Luan","raw_affiliation_strings":["Chongqing Key Laboratory of Computational Intelligence, Chongqing University of Posts and Telecommunications, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chongqing Key Laboratory of Computational Intelligence, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102862472","display_name":"Shu Tang","orcid":"https://orcid.org/0000-0001-7517-7992"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shu Tang","raw_affiliation_strings":["Chongqing Key Laboratory of Computer Network and Communications Technology, Chongqing University of Posts and Telecommunications, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chongqing Key Laboratory of Computer Network and Communications Technology, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073091915","display_name":"Hongmin Geng","orcid":"https://orcid.org/0000-0003-0867-175X"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongmin Geng","raw_affiliation_strings":["College of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100449301","display_name":"Ye Zhang","orcid":"https://orcid.org/0000-0002-0979-4746"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ye Zhang","raw_affiliation_strings":["College of Software Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Software Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I10535382"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"33","issue":null,"first_page":"636","last_page":"641"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9789999723434448,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9621999859809875,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7909011840820312},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7541514039039612},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6804219484329224},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.6359184384346008},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.6303076148033142},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5986607670783997},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5007045269012451},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.49574360251426697},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3827158212661743},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36098477244377136},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.13464438915252686}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7909011840820312},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7541514039039612},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6804219484329224},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.6359184384346008},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.6303076148033142},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5986607670783997},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5007045269012451},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.49574360251426697},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3827158212661743},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36098477244377136},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.13464438915252686},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/spac.2017.8304354","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spac.2017.8304354","pdf_url":null,"source":{"id":"https://openalex.org/S4306498208","display_name":"2017 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.7599999904632568}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1529297639","https://openalex.org/W1600550542","https://openalex.org/W1990319151","https://openalex.org/W1992734222","https://openalex.org/W2001178002","https://openalex.org/W2025102007","https://openalex.org/W2031596661","https://openalex.org/W2050849575","https://openalex.org/W2097486709","https://openalex.org/W2101149304","https://openalex.org/W2129812935","https://openalex.org/W2132467081","https://openalex.org/W2137823674","https://openalex.org/W2157069239","https://openalex.org/W2374458774","https://openalex.org/W2474352580","https://openalex.org/W2521296507","https://openalex.org/W2545783767","https://openalex.org/W3100830527","https://openalex.org/W6635927073","https://openalex.org/W6728949182"],"related_works":["https://openalex.org/W2560215812","https://openalex.org/W2949601986","https://openalex.org/W2788972299","https://openalex.org/W2498789492","https://openalex.org/W2521347458","https://openalex.org/W2729981612","https://openalex.org/W4233449973","https://openalex.org/W2925692864","https://openalex.org/W2384651879","https://openalex.org/W2985118265"],"abstract_inverted_index":{"To":[0],"address":[1],"the":[2,61,83,96,113,125,130,152,170,173],"problem":[3],"of":[4,32,82,109,143,154,172],"non-well":[5],"controlled":[6],"face":[7,23,167,181],"recognition,":[8],"such":[9],"as":[10,160],"illumination":[11],"changes,":[12],"pose":[13],"variation":[14],"and":[15,29,39,51,55,66,91,101,116,119,128,146,190],"random":[16],"pixel":[17],"corruption,":[18],"we":[19,72,105,134],"propose":[20],"a":[21],"robust":[22],"recognition":[24,168],"method":[25,175],"based":[26],"on":[27,178],"representation":[28,38,43],"feature":[30],"extraction":[31],"residual":[33,93,110,144],"images.":[34],"Represented":[35],"by":[36,95],"sparse":[37],"linear":[40,42,76],"regression,":[41],"methods":[44],"typically":[45],"use":[46,75,135],"training":[47],"samples":[48,65,81],"to":[49,60,74,78,88,123,138,150],"represent":[50],"reconstruct":[52],"test":[53,64,84,99],"samples,":[54],"determine":[56],"classification":[57],"results":[58],"according":[59],"distance":[62],"between":[63,98,112],"reconstruction":[67,80,102],"samples.":[68,103],"In":[69],"this":[70],"paper,":[71],"consider":[73],"regression":[77],"obtain":[79],"sample":[85,100],"with":[86,164,192],"respect":[87],"each":[89],"subject,":[90],"compute":[92],"images":[94,111],"difference":[97,127],"Then":[104],"analyze":[106],"intensity":[107,121,141,155],"distribution":[108,142],"correct":[114],"subject":[115],"other":[117],"subjects,":[118],"adopt":[120],"transform":[122],"surpass":[124],"intra-class":[126],"strengthen":[129],"inter-class":[131],"difference.":[132],"Finally,":[133],"wavelet":[136],"decomposition":[137],"extract":[139],"global":[140],"images,":[145],"introduce":[147],"information":[148],"entropy":[149],"illustrate":[151],"uncertainty":[153],"distribution,":[156],"which":[157],"are":[158],"extracted":[159],"discriminating":[161],"features.":[162],"Compared":[163],"several":[165],"popular":[166,180],"methods,":[169],"efficacy":[171],"proposed":[174],"is":[176],"verified":[177],"four":[179],"databases":[182],"(i.e.,":[183],"ORL,":[184],"Extended":[185],"Yale":[186],"B,":[187],"Georgia":[188],"Tech":[189],"AR)":[191],"promising":[193],"results.":[194]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
