{"id":"https://openalex.org/W3040354119","doi":"https://doi.org/10.2352/issn.2470-1173.2020.5.maap-082","title":"Beyond Color Correction : Skin Color Estimation In The Wild Through Deep Learning","display_name":"Beyond Color Correction : Skin Color Estimation In The Wild Through Deep Learning","publication_year":2020,"publication_date":"2020-01-26","ids":{"openalex":"https://openalex.org/W3040354119","doi":"https://doi.org/10.2352/issn.2470-1173.2020.5.maap-082","mag":"3040354119"},"language":"en","primary_location":{"id":"doi:10.2352/issn.2470-1173.2020.5.maap-082","is_oa":true,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2020.5.maap-082","pdf_url":"https://library.imaging.org/ei/articles/32/5/art00005","source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://library.imaging.org/ei/articles/32/5/art00005","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5072791873","display_name":"Robin Kips","orcid":"https://orcid.org/0000-0003-0231-6415"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Robin KIPS","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108717431","display_name":"Lo\u00efc TRAN","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lo\u00efc TRAN","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070329243","display_name":"Emmanuel Malherbe","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Emmanuel MALHERBE","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5107933380","display_name":"Matthieu Perrot","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Matthieu PERROT","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5072791873"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.411,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.60770262,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"32","issue":"5","first_page":"82","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9768000245094299,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9768000245094299,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.940500020980835,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/multispectral-image","display_name":"Multispectral image","score":0.9432504177093506},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.621070384979248},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5386173129081726},{"id":"https://openalex.org/keywords/infrared","display_name":"Infrared","score":0.5288748741149902},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5127290487289429},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.474698007106781},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.46881699562072754},{"id":"https://openalex.org/keywords/multispectral-pattern-recognition","display_name":"Multispectral pattern recognition","score":0.43730786442756653},{"id":"https://openalex.org/keywords/image-sensor","display_name":"Image sensor","score":0.436862975358963},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.2722654342651367},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.19348526000976562},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10124054551124573}],"concepts":[{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.9432504177093506},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.621070384979248},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5386173129081726},{"id":"https://openalex.org/C158355884","wikidata":"https://www.wikidata.org/wiki/Q11388","display_name":"Infrared","level":2,"score":0.5288748741149902},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5127290487289429},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.474698007106781},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.46881699562072754},{"id":"https://openalex.org/C104541649","wikidata":"https://www.wikidata.org/wiki/Q6935090","display_name":"Multispectral pattern recognition","level":3,"score":0.43730786442756653},{"id":"https://openalex.org/C76935873","wikidata":"https://www.wikidata.org/wiki/Q209121","display_name":"Image sensor","level":2,"score":0.436862975358963},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.2722654342651367},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.19348526000976562},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10124054551124573}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2352/issn.2470-1173.2020.5.maap-082","is_oa":true,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2020.5.maap-082","pdf_url":"https://library.imaging.org/ei/articles/32/5/art00005","source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.2352/issn.2470-1173.2020.5.maap-082","is_oa":true,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2020.5.maap-082","pdf_url":"https://library.imaging.org/ei/articles/32/5/art00005","source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.4300000071525574,"display_name":"Responsible consumption and production","id":"https://metadata.un.org/sdg/12"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3040354119.pdf","grobid_xml":"https://content.openalex.org/works/W3040354119.grobid-xml"},"referenced_works_count":7,"referenced_works":["https://openalex.org/W1564861741","https://openalex.org/W1988386267","https://openalex.org/W2015264016","https://openalex.org/W2024733108","https://openalex.org/W2079477002","https://openalex.org/W2897015430","https://openalex.org/W4234549270"],"related_works":["https://openalex.org/W2956043259","https://openalex.org/W2544717973","https://openalex.org/W2139294397","https://openalex.org/W2169509889","https://openalex.org/W2961060159","https://openalex.org/W1498247086","https://openalex.org/W2014087627","https://openalex.org/W2149772359","https://openalex.org/W2070578785","https://openalex.org/W4293118081"],"abstract_inverted_index":{"Estimating":[0],"skin":[1,26,53,90,107,137,145],"color":[2,27,34,54,84,97,104,146,162],"from":[3,57],"an":[4,67,95],"uncontrolled":[5],"facial":[6],"image":[7,42,87],"is":[8,118],"a":[9,33,46,52,72,121,127],"challenging":[10],"task.":[11],"Many":[12],"factors":[13],"such":[14],"as":[15],"illumination,":[16],"camera":[17],"and":[18,70,89,106,149],"shading":[19],"variations":[20],"directly":[21],"affect":[22],"the":[23,29,41,60,114,159],"appearance":[24],"of":[25,83,86,129,136,161],"in":[28,37,59,102],"image.":[30],"Furthermore,":[31],"using":[32],"calibration":[35,73,163],"target":[36],"order":[38],"to":[39,45],"correct":[40],"pixels":[43,88],"leads":[44],"complex":[47],"user":[48],"experience.":[49],"We":[50,139],"propose":[51,94],"estimation":[55,147],"method":[56,117,142,153],"images":[58],"wild,":[61],"taken":[62],"with":[63,133,143],"unknown":[64,68],"camera,":[65],"under":[66],"lighting,":[69],"without":[71],"target.":[74,164],"While":[75],"prior":[76],"methods":[77],"relied":[78],"on":[79,120,126],"explicit":[80],"intermediate":[81],"steps":[82],"correction":[85,105],"region":[91,108],"segmentation,":[92],"we":[93],"end-to-end":[96],"regression":[98],"model":[99],"named":[100],"LabNet,":[101],"which":[103],"segmentation":[109],"are":[110],"implicitly":[111],"learnt":[112],"by":[113],"model.":[115],"Our":[116],"based":[119],"convolutional":[122],"neural":[123],"network":[124],"trained":[125],"dataset":[128],"smartphone":[130],"images,":[131],"labeled":[132],"L*a*b*":[134],"measures":[135],"colors.":[138],"compare":[140],"our":[141,152],"standard":[144],"approaches":[148],"found":[150],"that":[151],"over-perform":[154],"these":[155],"models":[156],"while":[157],"removing":[158],"need":[160]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}