{"id":"https://openalex.org/W2170437366","doi":"https://doi.org/10.1109/cvpr.2009.5206750","title":"Facial deblur inference to improve recognition of blurred faces","display_name":"Facial deblur inference to improve recognition of blurred faces","publication_year":2009,"publication_date":"2009-06-01","ids":{"openalex":"https://openalex.org/W2170437366","doi":"https://doi.org/10.1109/cvpr.2009.5206750","mag":"2170437366"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2009.5206750","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2009.5206750","pdf_url":null,"source":{"id":"https://openalex.org/S4363607795","display_name":"2009 IEEE Conference on Computer Vision and Pattern Recognition","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":"2009 IEEE Conference on Computer Vision and Pattern Recognition","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/A5054129619","display_name":"Masashi Nishiyama","orcid":"https://orcid.org/0000-0002-5964-3209"},"institutions":[{"id":"https://openalex.org/I1292669757","display_name":"Toshiba (Japan)","ror":"https://ror.org/0326v3z14","country_code":"JP","type":"company","lineage":["https://openalex.org/I1292669757"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Masashi Nishiyama","raw_affiliation_strings":["Corporate Research & Development, Toshiba Corporation, Japan"],"affiliations":[{"raw_affiliation_string":"Corporate Research & Development, Toshiba Corporation, Japan","institution_ids":["https://openalex.org/I1292669757"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019791942","display_name":"Hidenori Takeshima","orcid":"https://orcid.org/0000-0002-2557-8533"},"institutions":[{"id":"https://openalex.org/I1292669757","display_name":"Toshiba (Japan)","ror":"https://ror.org/0326v3z14","country_code":"JP","type":"company","lineage":["https://openalex.org/I1292669757"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hidenori Takeshima","raw_affiliation_strings":["Corporate Research & Development, Toshiba Corporation, Japan"],"affiliations":[{"raw_affiliation_string":"Corporate Research & Development, Toshiba Corporation, Japan","institution_ids":["https://openalex.org/I1292669757"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002831957","display_name":"Jamie Shotton","orcid":null},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jamie Shotton","raw_affiliation_strings":["Microsoft Research Cambridge, UK"],"affiliations":[{"raw_affiliation_string":"Microsoft Research Cambridge, UK","institution_ids":["https://openalex.org/I4210164937"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028237641","display_name":"Tatsuo Kozakaya","orcid":null},"institutions":[{"id":"https://openalex.org/I1292669757","display_name":"Toshiba (Japan)","ror":"https://ror.org/0326v3z14","country_code":"JP","type":"company","lineage":["https://openalex.org/I1292669757"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tatsuo Kozakaya","raw_affiliation_strings":["Corporate Research & Development, Toshiba Corporation, Japan"],"affiliations":[{"raw_affiliation_string":"Corporate Research & Development, Toshiba Corporation, Japan","institution_ids":["https://openalex.org/I1292669757"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033408219","display_name":"Osamu Yamaguchi","orcid":"https://orcid.org/0000-0002-7461-369X"},"institutions":[{"id":"https://openalex.org/I1292669757","display_name":"Toshiba (Japan)","ror":"https://ror.org/0326v3z14","country_code":"JP","type":"company","lineage":["https://openalex.org/I1292669757"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Osamu Yamaguchi","raw_affiliation_strings":["Corporate Research & Development, Toshiba Corporation, Japan"],"affiliations":[{"raw_affiliation_string":"Corporate Research & Development, Toshiba Corporation, Japan","institution_ids":["https://openalex.org/I1292669757"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5054129619"],"corresponding_institution_ids":["https://openalex.org/I1292669757"],"apc_list":null,"apc_paid":null,"fwci":1.4823,"has_fulltext":false,"cited_by_count":38,"citation_normalized_percentile":{"value":0.85414166,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1115","last_page":"1122"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9993000030517578,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9993000030517578,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.995199978351593,"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"}},{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.9775999784469604,"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/deblurring","display_name":"Deblurring","score":0.8669708967208862},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.808031439781189},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7255569100379944},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6855992674827576},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.6457473635673523},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.53318190574646},{"id":"https://openalex.org/keywords/motion-blur","display_name":"Motion blur","score":0.5228638648986816},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5202744603157043},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5013811588287354},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.4949871897697449},{"id":"https://openalex.org/keywords/point-spread-function","display_name":"Point spread function","score":0.4671112298965454},{"id":"https://openalex.org/keywords/face-hallucination","display_name":"Face hallucination","score":0.43890097737312317},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4338219463825226},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.41668444871902466},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.34380093216896057},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.24628350138664246},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.22276964783668518}],"concepts":[{"id":"https://openalex.org/C2777693668","wikidata":"https://www.wikidata.org/wiki/Q25053743","display_name":"Deblurring","level":5,"score":0.8669708967208862},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.808031439781189},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7255569100379944},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6855992674827576},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.6457473635673523},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.53318190574646},{"id":"https://openalex.org/C2777708103","wikidata":"https://www.wikidata.org/wiki/Q852589","display_name":"Motion blur","level":3,"score":0.5228638648986816},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5202744603157043},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5013811588287354},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.4949871897697449},{"id":"https://openalex.org/C69179731","wikidata":"https://www.wikidata.org/wiki/Q510427","display_name":"Point spread function","level":2,"score":0.4671112298965454},{"id":"https://openalex.org/C54654163","wikidata":"https://www.wikidata.org/wiki/Q5428359","display_name":"Face hallucination","level":5,"score":0.43890097737312317},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4338219463825226},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.41668444871902466},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.34380093216896057},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.24628350138664246},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.22276964783668518},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr.2009.5206750","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2009.5206750","pdf_url":null,"source":{"id":"https://openalex.org/S4363607795","display_name":"2009 IEEE Conference on Computer Vision and Pattern Recognition","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":"2009 IEEE Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1510355813","https://openalex.org/W1564660545","https://openalex.org/W1578352865","https://openalex.org/W1590453066","https://openalex.org/W1966058822","https://openalex.org/W1986680430","https://openalex.org/W2017466923","https://openalex.org/W2027231794","https://openalex.org/W2033419168","https://openalex.org/W2041610210","https://openalex.org/W2095727488","https://openalex.org/W2098535678","https://openalex.org/W2099770336","https://openalex.org/W2099772554","https://openalex.org/W2103913786","https://openalex.org/W2104564430","https://openalex.org/W2111992298","https://openalex.org/W2114380981","https://openalex.org/W2121821935","https://openalex.org/W2126653386","https://openalex.org/W2137659841","https://openalex.org/W2138141351","https://openalex.org/W2156054552","https://openalex.org/W2156579951","https://openalex.org/W2163636005","https://openalex.org/W2165939075","https://openalex.org/W2544241447","https://openalex.org/W3137059050","https://openalex.org/W3144269773","https://openalex.org/W4205392983","https://openalex.org/W4234750346","https://openalex.org/W4236771684"],"related_works":["https://openalex.org/W4224288641","https://openalex.org/W4382450485","https://openalex.org/W2557898294","https://openalex.org/W2031788393","https://openalex.org/W2982126779","https://openalex.org/W2033307681","https://openalex.org/W3153582293","https://openalex.org/W2127643882","https://openalex.org/W2093730733","https://openalex.org/W2378723235"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,23,34,37,59,71,90,96,112,143],"novel":[4],"method":[5,52,157],"for":[6,139],"deblurring":[7],"facial":[8,39,64],"images":[9,65],"to":[10,21,85,130],"recognize":[11],"faces":[12,77],"degraded":[13,78,148],"by":[14,79,149],"blur.":[15,32],"The":[16],"main":[17],"problem":[18,48],"is":[19,41,136],"how":[20],"infer":[22],"point":[24],"spread":[25],"function":[26],"(PSF)":[27],"representing":[28],"the":[29,80,123,127,133,160],"process":[30],"of":[31,62,66,99,115],"Inferring":[33],"PSF":[35,82,101,108,128],"from":[36,58],"single":[38],"image":[40,114,135],"an":[42],"ill-posed":[43],"problem.":[44],"To":[45],"make":[46],"this":[47,104],"more":[49],"tractable,":[50],"our":[51,156],"uses":[53],"learned":[54],"prior":[55],"information":[56],"derived":[57],"training":[60],"set":[61],"blurred":[63,76,174],"several":[67],"individuals.":[68],"We":[69,167],"construct":[70],"feature":[72,105],"space":[73],"such":[74],"that":[75,131,155],"same":[81],"are":[83],"similar":[84],"one":[86],"another":[87],"and":[88,121],"form":[89],"cluster.":[91],"During":[92],"training,":[93],"we":[94,110],"compute":[95],"statistical":[97],"model":[98,120],"each":[100,119],"cluster":[102],"in":[103],"space.":[106],"For":[107],"inference":[109],"compare":[111],"query":[113,134],"unknown":[116],"blur":[117,153],"with":[118,164],"select":[122],"closest":[124],"one.":[125],"Using":[126],"corresponding":[129],"model,":[132],"deblurred,":[137],"ready":[138],"recognition.":[140],"Experiments":[141],"on":[142,172],"standard":[144],"face":[145],"database":[146],"artificially":[147],"focus":[150],"or":[151],"motion":[152],"show":[154],"substantially":[158],"improves":[159],"recognition":[161],"performance":[162,171],"compared":[163],"state-of-the-art":[165],"methods.":[166],"also":[168],"demonstrate":[169],"improved":[170],"real":[173],"images.":[175]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
