{"id":"https://openalex.org/W3002302066","doi":"https://doi.org/10.1145/3373419.3373447","title":"A Noise Resistant Method by Setting Thresholds for Use With Face Recognition","display_name":"A Noise Resistant Method by Setting Thresholds for Use With Face Recognition","publication_year":2019,"publication_date":"2019-11-08","ids":{"openalex":"https://openalex.org/W3002302066","doi":"https://doi.org/10.1145/3373419.3373447","mag":"3002302066"},"language":"en","primary_location":{"id":"doi:10.1145/3373419.3373447","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3373419.3373447","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 3rd International Conference on Advances in Image Processing","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/A5101636250","display_name":"Yuewei Li","orcid":null},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuewei Li","raw_affiliation_strings":["Key Laboratory of Intelligent Medical Image Analysis and Precise Diagnosis of Guizhou Province, College of Computer Science and Technology, Guizhou University, Guiyang, P. R. China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Medical Image Analysis and Precise Diagnosis of Guizhou Province, College of Computer Science and Technology, Guizhou University, Guiyang, P. R. China","institution_ids":["https://openalex.org/I178232147"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100325607","display_name":"Yongjun Zhang","orcid":"https://orcid.org/0000-0002-7534-1219"},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongjun Zhang","raw_affiliation_strings":["Key Laboratory of Intelligent Medical Image Analysis and Precise Diagnosis of Guizhou Province, College of Computer Science and Technology, Guizhou University, Guiyang, P. R. China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Medical Image Analysis and Precise Diagnosis of Guizhou Province, College of Computer Science and Technology, Guizhou University, Guiyang, P. R. China","institution_ids":["https://openalex.org/I178232147"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100743358","display_name":"Qian Wang","orcid":"https://orcid.org/0000-0002-9404-2468"},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qian Wang","raw_affiliation_strings":["Key Laboratory of Intelligent Medical Image Analysis and Precise Diagnosis of Guizhou Province, College of Computer Science and Technology, Guizhou University, Guiyang, P. R. China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Medical Image Analysis and Precise Diagnosis of Guizhou Province, College of Computer Science and Technology, Guizhou University, Guiyang, P. R. China","institution_ids":["https://openalex.org/I178232147"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011629374","display_name":"Xiao Ling","orcid":"https://orcid.org/0000-0001-5890-0691"},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ling Xiao","raw_affiliation_strings":["Key Laboratory of Intelligent Medical Image Analysis and Precise Diagnosis of Guizhou Province, College of Computer Science and Technology, Guizhou University, Guiyang, P. R. China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Medical Image Analysis and Precise Diagnosis of Guizhou Province, College of Computer Science and Technology, Guizhou University, Guiyang, P. R. China","institution_ids":["https://openalex.org/I178232147"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101636250"],"corresponding_institution_ids":["https://openalex.org/I178232147"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16968293,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2013","issue":null,"first_page":"23","last_page":"28"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9987999796867371,"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":0.9987999796867371,"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":0.9927999973297119,"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/T13579","display_name":"Image and Video Stabilization","score":0.9843000173568726,"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/computer-science","display_name":"Computer science","score":0.7415367364883423},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7377052903175354},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6731035113334656},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6702932715415955},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.6596648693084717},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5855462551116943},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5686595439910889},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5585285425186157},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5578274130821228},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.5423364043235779},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.46573272347450256},{"id":"https://openalex.org/keywords/image-noise","display_name":"Image noise","score":0.46340179443359375},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4594690501689911},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4560035467147827},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.41081976890563965}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7415367364883423},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7377052903175354},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6731035113334656},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6702932715415955},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.6596648693084717},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5855462551116943},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5686595439910889},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5585285425186157},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5578274130821228},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.5423364043235779},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.46573272347450256},{"id":"https://openalex.org/C35772409","wikidata":"https://www.wikidata.org/wiki/Q1323086","display_name":"Image noise","level":3,"score":0.46340179443359375},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4594690501689911},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4560035467147827},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.41081976890563965},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3373419.3373447","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3373419.3373447","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 3rd International Conference on Advances in Image Processing","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":42,"referenced_works":["https://openalex.org/W1600550542","https://openalex.org/W1963950237","https://openalex.org/W1969762829","https://openalex.org/W1977527736","https://openalex.org/W1988163443","https://openalex.org/W1996072998","https://openalex.org/W1996624683","https://openalex.org/W2007896478","https://openalex.org/W2017381048","https://openalex.org/W2019898594","https://openalex.org/W2021012145","https://openalex.org/W2038386507","https://openalex.org/W2047188832","https://openalex.org/W2058232500","https://openalex.org/W2060653583","https://openalex.org/W2061052441","https://openalex.org/W2072246452","https://openalex.org/W2072538254","https://openalex.org/W2082783427","https://openalex.org/W2083394664","https://openalex.org/W2089035607","https://openalex.org/W2097437748","https://openalex.org/W2097777575","https://openalex.org/W2116441190","https://openalex.org/W2117938741","https://openalex.org/W2126653386","https://openalex.org/W2130187411","https://openalex.org/W2134651899","https://openalex.org/W2134929491","https://openalex.org/W2138451337","https://openalex.org/W2141607429","https://openalex.org/W2143304877","https://openalex.org/W2143340430","https://openalex.org/W2149846800","https://openalex.org/W2151662560","https://openalex.org/W2158252006","https://openalex.org/W2171937595","https://openalex.org/W2343962831","https://openalex.org/W2526655620","https://openalex.org/W2607103028","https://openalex.org/W2755255259","https://openalex.org/W3100911280"],"related_works":["https://openalex.org/W2076845124","https://openalex.org/W2183964146","https://openalex.org/W2379932303","https://openalex.org/W3147744369","https://openalex.org/W4241440711","https://openalex.org/W2062586268","https://openalex.org/W2019582947","https://openalex.org/W3212688212","https://openalex.org/W4300873085","https://openalex.org/W4300552992"],"abstract_inverted_index":{"Face":[0],"recognition":[1],"is":[2,14,26,36,58,88,118,146,156,174],"one":[3],"of":[4,9,20,52,71,85,93,100,140,183,192],"the":[5,45,50,55,61,63,67,69,91,98,112,116,122,126,137,143,149,154,161,171,176,181,186,190],"important":[6],"research":[7],"contents":[8],"biometric":[10],"recognition,":[11],"and":[12,34,160,188],"it":[13],"widely":[15],"used":[16],"in":[17,115],"various":[18],"fields":[19],"life.":[21],"The":[22,165],"recognized":[23],"face":[24,150,193],"image":[25,80,94,117,155],"acquired":[27],"by":[28,38],"devices":[29],"such":[30],"as":[31],"video":[32],"capture,":[33],"noise":[35,56,72,86,184],"generated":[37],"device":[39],"factors":[40],"or":[41],"external":[42],"influences":[43],"during":[44],"acquisition":[46],"process,":[47],"thereby":[48],"reducing":[49],"accuracy":[51,191],"recognition.":[53,194],"If":[54,111],"intensity":[57],"basically":[59],"fixed,":[60],"smaller":[62],"pixel":[64,75,113,123],"value":[65,114,128],"is,":[66],"larger":[68],"proportion":[70],"is.":[73],"This":[74,103],"has":[76],"low":[77],"reliability":[78],"for":[79],"description.":[81],"Therefore,":[82],"a":[83,108],"method":[84,105,178],"resistant":[87],"proposed":[89,177],"from":[90],"angle":[92],"preprocessing":[95],"to":[96,133],"reduce":[97,180],"impact":[99],"this":[101],"problem.":[102],"anti-noise":[104],"first":[106],"sets":[107],"certain":[109],"threshold.":[110],"lower":[119],"than":[120],"it,":[121],"values":[124],"below":[125],"set":[127,132],"will":[129],"be":[130],"directly":[131],"0.":[134],"Then,":[135],"using":[136],"classification":[138,187],"algorithm":[139],"cosine":[141],"similarity,":[142],"similarity":[144],"calculation":[145],"performed":[147],"on":[148,185],"image,":[151],"so":[152],"that":[153,169],"classified,":[157],"finally":[158],"recognized,":[159],"results":[162,167],"are":[163],"output.":[164],"experimental":[166],"show":[168],"after":[170],"appropriate":[172],"threshold":[173],"selected,":[175],"can":[179],"interference":[182],"improve":[189]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
