{"id":"https://openalex.org/W2907348570","doi":"https://doi.org/10.1109/icsai.2018.8599322","title":"An Effective Face Recognition Framework With Subspace Learning Based on Local Texture Patterns","display_name":"An Effective Face Recognition Framework With Subspace Learning Based on Local Texture Patterns","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2907348570","doi":"https://doi.org/10.1109/icsai.2018.8599322","mag":"2907348570"},"language":"en","primary_location":{"id":"doi:10.1109/icsai.2018.8599322","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsai.2018.8599322","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 5th International Conference on Systems and Informatics (ICSAI)","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/A5033857746","display_name":"Fujin Zhong","orcid":"https://orcid.org/0000-0003-4519-1974"},"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":"Fujin Zhong","raw_affiliation_strings":["Chongqing Key Laboratory of Computational Intelligence, Chongqing University of Posts and Telecommunications, Chongqing, PR China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chongqing Key Laboratory of Computational Intelligence, Chongqing University of Posts and Telecommunications, Chongqing, PR China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103118884","display_name":"Shuo Yan","orcid":"https://orcid.org/0000-0003-0293-5443"},"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":"Shuo Yan","raw_affiliation_strings":["Chongqing Key Laboratory of Computational Intelligence, Chongqing University of Posts and Telecommunications, Chongqing, PR China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chongqing Key Laboratory of Computational Intelligence, Chongqing University of Posts and Telecommunications, Chongqing, PR China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100418783","display_name":"Li Liu","orcid":"https://orcid.org/0000-0002-2011-2873"},"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":"Li Liu","raw_affiliation_strings":["Chongqing Key Laboratory of Computational Intelligence, Chongqing University of Posts and Telecommunications, Chongqing, PR China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chongqing Key Laboratory of Computational Intelligence, Chongqing University of Posts and Telecommunications, Chongqing, PR China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100349835","display_name":"Ke Liu","orcid":"https://orcid.org/0000-0001-8151-4326"},"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":"Ke Liu","raw_affiliation_strings":["Chongqing Key Laboratory of Computational Intelligence, Chongqing University of Posts and Telecommunications, Chongqing, PR China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chongqing Key Laboratory of Computational Intelligence, Chongqing University of Posts and Telecommunications, Chongqing, PR 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":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"19","issue":null,"first_page":"266","last_page":"271"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9991000294685364,"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":0.9991000294685364,"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":0.9933000206947327,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9484000205993652,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/subspace-topology","display_name":"Subspace topology","score":0.7830356955528259},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7615286111831665},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7278817296028137},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7177897095680237},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.7056604027748108},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6966739892959595},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5735843777656555},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.5445031523704529},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.5307956337928772},{"id":"https://openalex.org/keywords/discriminant","display_name":"Discriminant","score":0.4322887659072876},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3493248224258423},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.19353187084197998}],"concepts":[{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.7830356955528259},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7615286111831665},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7278817296028137},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7177897095680237},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.7056604027748108},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6966739892959595},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5735843777656555},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.5445031523704529},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.5307956337928772},{"id":"https://openalex.org/C78397625","wikidata":"https://www.wikidata.org/wiki/Q192487","display_name":"Discriminant","level":2,"score":0.4322887659072876},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3493248224258423},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.19353187084197998},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsai.2018.8599322","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsai.2018.8599322","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 5th International Conference on Systems and Informatics (ICSAI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.6600000262260437,"display_name":"Reduced inequalities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320324805","display_name":"Chongqing Municipal Education Commission","ror":"https://ror.org/031nm5713"},{"id":"https://openalex.org/F4320327865","display_name":"Chongqing Research Program of Basic Research and Frontier Technology","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1541521713","https://openalex.org/W1901075642","https://openalex.org/W1964762821","https://openalex.org/W1981585867","https://openalex.org/W1981791717","https://openalex.org/W1999533590","https://openalex.org/W2003860694","https://openalex.org/W2033302519","https://openalex.org/W2057747179","https://openalex.org/W2058666955","https://openalex.org/W2059652177","https://openalex.org/W2096027770","https://openalex.org/W2102544846","https://openalex.org/W2117553576","https://openalex.org/W2121647436","https://openalex.org/W2131081720","https://openalex.org/W2138451337","https://openalex.org/W2143103810","https://openalex.org/W2163808566","https://openalex.org/W2265528551","https://openalex.org/W2472865648","https://openalex.org/W2511925907","https://openalex.org/W2593898678","https://openalex.org/W3143172154"],"related_works":["https://openalex.org/W2350751952","https://openalex.org/W1999647744","https://openalex.org/W2362114017","https://openalex.org/W3147024994","https://openalex.org/W2063246903","https://openalex.org/W2374055396","https://openalex.org/W1978302214","https://openalex.org/W2021817983","https://openalex.org/W1995039490","https://openalex.org/W3008559849"],"abstract_inverted_index":{"Currently,":[0],"there":[1],"are":[2,22,85],"mainly":[3],"two":[4,71,80,103,134],"kinds":[5],"of":[6,52,133],"methods":[7,14,107,135],"for":[8],"face":[9,29,59,72,105],"recognition,":[10],"i.e.":[11],"subspace":[12,63],"learning":[13,64],"and":[15,31,98,119,147],"local":[16,67,82,126],"texture":[17,68,83,127],"methods.":[18],"Generally,":[19],"the":[20,38,88,92,131,138,142],"first":[21],"sensitive":[23],"to":[24,46],"compound":[25,47],"changes":[26],"including":[27],"illumination,":[28],"expression":[30],"pose,":[32],"but":[33,43],"have":[34,40],"low-dimensional":[35],"features.":[36],"Relatively,":[37],"second":[39],"high-dimensional":[41],"features":[42,123],"better":[44],"robustness":[45],"changes.":[48],"Making":[49],"full":[50],"use":[51],"their":[53],"advantages,":[54],"this":[55],"paper":[56],"proposes":[57],"a":[58],"recognition":[60,73,106,113],"framework":[61,144],"with":[62],"based":[65],"on":[66,95],"patterns.":[69],"Then,":[70],"methods,":[74,118,128],"which":[75,129],"adopt":[76],"discriminant":[77],"analysis":[78],"from":[79,87,137],"different":[81],"patterns,":[84],"derived":[86,136],"proposed":[89,104,139,143],"framework.":[90,140],"Lastly,":[91],"experimental":[93],"results":[94],"AR":[96],"database":[97,100],"CAS-PEAL-R1":[99],"show":[101],"that":[102],"gain":[108],"higher":[109],"average":[110],"optimal":[111],"correct":[112],"rates":[114],"than":[115,124],"several":[116],"traditional":[117,125],"much":[120],"lower":[121],"dimensional":[122],"verify":[130],"effectiveness":[132],"Therefore,":[141],"is":[145],"effective":[146],"worth":[148],"extending.":[149]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}