{"id":"https://openalex.org/W2963200921","doi":"https://doi.org/10.1109/icpr.2018.8545476","title":"Quality Classified Image Analysis with Application to Face Detection and Recognition","display_name":"Quality Classified Image Analysis with Application to Face Detection and Recognition","publication_year":2018,"publication_date":"2018-08-01","ids":{"openalex":"https://openalex.org/W2963200921","doi":"https://doi.org/10.1109/icpr.2018.8545476","mag":"2963200921"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2018.8545476","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2018.8545476","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 24th International Conference on Pattern Recognition (ICPR)","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/A5100784075","display_name":"Fei Yang","orcid":"https://orcid.org/0000-0002-1510-0675"},"institutions":[{"id":"https://openalex.org/I13591777","display_name":"University of Nottingham Ningbo China","ror":"https://ror.org/03y4dt428","country_code":"CN","type":"education","lineage":["https://openalex.org/I13591777","https://openalex.org/I142263535"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Yang","raw_affiliation_strings":["International Doctoral Innovation Centre, University of Nottingham Ningbo China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"International Doctoral Innovation Centre, University of Nottingham Ningbo China","institution_ids":["https://openalex.org/I13591777"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100401724","display_name":"Qian Zhang","orcid":"https://orcid.org/0000-0003-3041-643X"},"institutions":[{"id":"https://openalex.org/I13591777","display_name":"University of Nottingham Ningbo China","ror":"https://ror.org/03y4dt428","country_code":"CN","type":"education","lineage":["https://openalex.org/I13591777","https://openalex.org/I142263535"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qian Zhang","raw_affiliation_strings":["School of Computer Science, University of Nottingham Ningbo China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Nottingham Ningbo China","institution_ids":["https://openalex.org/I13591777"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080596209","display_name":"Miaohui Wang","orcid":"https://orcid.org/0000-0003-1125-9299"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Miaohui Wang","raw_affiliation_strings":["College of Information Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114259459","display_name":"Guoping Qiu","orcid":"https://orcid.org/0000-0002-5877-5648"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoping Qiu","raw_affiliation_strings":["College of Information Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2863","last_page":"2868"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9998999834060669,"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":0.9998999834060669,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9958999752998352,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9930999875068665,"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":0.7967674136161804},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7750145196914673},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.6751081347465515},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.631598711013794},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5652799606323242},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5609280467033386},{"id":"https://openalex.org/keywords/motion-blur","display_name":"Motion blur","score":0.531755805015564},{"id":"https://openalex.org/keywords/lossy-compression","display_name":"Lossy compression","score":0.5287912487983704},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.523071825504303},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4795372486114502},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4784829020500183},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.46705639362335205},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.4577885866165161},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.44080400466918945}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7967674136161804},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7750145196914673},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.6751081347465515},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.631598711013794},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5652799606323242},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5609280467033386},{"id":"https://openalex.org/C2777708103","wikidata":"https://www.wikidata.org/wiki/Q852589","display_name":"Motion blur","level":3,"score":0.531755805015564},{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.5287912487983704},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.523071825504303},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4795372486114502},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4784829020500183},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.46705639362335205},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.4577885866165161},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.44080400466918945},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/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/icpr.2018.8545476","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2018.8545476","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 24th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"No poverty","id":"https://metadata.un.org/sdg/1","score":0.46000000834465027}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324779","display_name":"Ningbo Municipal Bureau of Education","ror":"https://ror.org/016jygy11"},{"id":"https://openalex.org/F4320325571","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70"},{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W200526583","https://openalex.org/W1509966554","https://openalex.org/W1526068416","https://openalex.org/W1861492603","https://openalex.org/W1964862321","https://openalex.org/W2012885984","https://openalex.org/W2118779391","https://openalex.org/W2144506857","https://openalex.org/W2148610715","https://openalex.org/W2170947705","https://openalex.org/W2294857031","https://openalex.org/W2325939864","https://openalex.org/W2341528187","https://openalex.org/W2404848313","https://openalex.org/W2585123518","https://openalex.org/W2606783869","https://openalex.org/W2952671661","https://openalex.org/W2962950337","https://openalex.org/W2963216120","https://openalex.org/W2963980515","https://openalex.org/W2989584901","https://openalex.org/W3101998545","https://openalex.org/W3104668471","https://openalex.org/W6630649318","https://openalex.org/W6639102338","https://openalex.org/W6713387290"],"related_works":["https://openalex.org/W1995805316","https://openalex.org/W2387503788","https://openalex.org/W2059658550","https://openalex.org/W2803920876","https://openalex.org/W2999957348","https://openalex.org/W2964219139","https://openalex.org/W4287903946","https://openalex.org/W3042625184","https://openalex.org/W2343292875","https://openalex.org/W2005223122"],"abstract_inverted_index":{"Motion":[0],"blur,":[1],"out":[2],"of":[3,62,84,113,134,189,198],"focus,":[4],"insufficient":[5],"spatial":[6],"resolution,":[7],"lossy":[8],"compression":[9],"and":[10,43,111,152,159,187,192,202],"many":[11],"other":[12],"factors":[13],"can":[14,115,179,193],"all":[15],"cause":[16],"an":[17,54],"image":[18,24,51,72,127,190,207],"to":[19,48,118,130,144,172],"have":[20,92,122],"poor":[21],"quality.":[22],"However,":[23],"quality":[25,52,73,83,94,125,150,165,176,211],"is":[26,53,69,76],"a":[27,124,155],"largely":[28],"ignored":[29],"issue":[30],"in":[31,87,97,163,204],"traditional":[32,63],"pattern":[33],"recognition":[34,44],"literature.":[35],"In":[36],"this":[37],"paper,":[38],"we":[39,121],"use":[40,139],"face":[41,157,200],"detection":[42],"as":[45,95],"case":[46],"studies":[47],"show":[49,173],"that":[50,67,75,174],"essential":[55],"factor":[56],"which":[57],"will":[58,168],"affect":[59],"the":[60,71,77,82,85,88,98,119,185,196],"performances":[61,197],"algorithms.":[64],"We":[65,138,167],"demonstrated":[66],"it":[68],"not":[70],"itself":[74],"most":[78],"important,":[79],"but":[80],"rather":[81],"images":[86,107,133,146,162,182],"training":[89],"set":[90],"should":[91],"similar":[93],"those":[96],"testing":[99],"set.":[100],"To":[101],"handle":[102],"real-world":[103],"application":[104],"scenarios":[105],"where":[106],"with":[108,132,206],"different":[109],"kinds":[110],"severities":[112],"degradation":[114],"be":[116],"presented":[117],"system,":[120],"developed":[123],"classified":[126,177],"analysis":[128],"framework":[129,178],"deal":[131],"mixed":[135,210],"qualities":[136],"adaptively.":[137],"deep":[140],"neural":[141],"networks":[142],"first":[143],"classify":[145,181],"based":[147,183],"on":[148,184],"their":[149],"classes":[151],"then":[153],"design":[154],"separate":[156],"detector":[158,201],"recognizer":[160,203],"for":[161],"each":[164],"class.":[166],"present":[169],"experimental":[170],"results":[171],"our":[175],"accurately":[180],"type":[186],"severity":[188],"degradations":[191],"significantly":[194],"boost":[195],"state-of-the-art":[199],"dealing":[205],"datasets":[208],"containing":[209],"images.":[212]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3}],"updated_date":"2026-07-17T09:13:05.818461","created_date":"2025-10-10T00:00:00"}
