{"id":"https://openalex.org/W2910297488","doi":"https://doi.org/10.1109/euvip.2018.8611681","title":"Using Visible+NIR information for CNN face recognition","display_name":"Using Visible+NIR information for CNN face recognition","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2910297488","doi":"https://doi.org/10.1109/euvip.2018.8611681","mag":"2910297488"},"language":"en","primary_location":{"id":"doi:10.1109/euvip.2018.8611681","is_oa":false,"landing_page_url":"https://doi.org/10.1109/euvip.2018.8611681","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 7th European Workshop on Visual Information Processing (EUVIP)","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/A5015458676","display_name":"Sanae Boutarfass","orcid":null},"institutions":[{"id":"https://openalex.org/I78744979","display_name":"La Rochelle Universit\u00e9","ror":"https://ror.org/04mv1z119","country_code":"FR","type":"education","lineage":["https://openalex.org/I78744979"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Sanae Boutarfass","raw_affiliation_strings":["Laboratoire MIA University of La Rochelle LA ROCHELLE, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratoire MIA University of La Rochelle LA ROCHELLE, France","institution_ids":["https://openalex.org/I78744979"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083555795","display_name":"Bernard Besserer","orcid":null},"institutions":[{"id":"https://openalex.org/I78744979","display_name":"La Rochelle Universit\u00e9","ror":"https://ror.org/04mv1z119","country_code":"FR","type":"education","lineage":["https://openalex.org/I78744979"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Bernard Besserer","raw_affiliation_strings":["Laboratoire MIA University of La Rochelle LA ROCHELLE, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratoire MIA University of La Rochelle LA ROCHELLE, France","institution_ids":["https://openalex.org/I78744979"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I78744979"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.16895156,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"29","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9997000098228455,"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":0.9997000098228455,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9986000061035156,"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/T10057","display_name":"Face and Expression Recognition","score":0.9980000257492065,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7743844985961914},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.7505511045455933},{"id":"https://openalex.org/keywords/vnir","display_name":"VNIR","score":0.7335120439529419},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6995007991790771},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6763615012168884},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.543262243270874},{"id":"https://openalex.org/keywords/digital-camera","display_name":"Digital camera","score":0.5414351224899292},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.5360904335975647},{"id":"https://openalex.org/keywords/near-infrared-spectroscopy","display_name":"Near-infrared spectroscopy","score":0.4986851215362549},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.48555323481559753},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36218810081481934},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.1727365255355835},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.13000643253326416},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.11515578627586365},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09946119785308838}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7743844985961914},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.7505511045455933},{"id":"https://openalex.org/C5457282","wikidata":"https://www.wikidata.org/wiki/Q7907352","display_name":"VNIR","level":3,"score":0.7335120439529419},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6995007991790771},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6763615012168884},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.543262243270874},{"id":"https://openalex.org/C2779705975","wikidata":"https://www.wikidata.org/wiki/Q62927","display_name":"Digital camera","level":2,"score":0.5414351224899292},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.5360904335975647},{"id":"https://openalex.org/C43571822","wikidata":"https://www.wikidata.org/wiki/Q599037","display_name":"Near-infrared spectroscopy","level":2,"score":0.4986851215362549},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.48555323481559753},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36218810081481934},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.1727365255355835},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.13000643253326416},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.11515578627586365},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09946119785308838}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/euvip.2018.8611681","is_oa":false,"landing_page_url":"https://doi.org/10.1109/euvip.2018.8611681","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 7th European Workshop on Visual Information Processing (EUVIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2085810284","https://openalex.org/W2103037904","https://openalex.org/W2123094559","https://openalex.org/W2126074213","https://openalex.org/W2144172034","https://openalex.org/W2145287260","https://openalex.org/W2242660382","https://openalex.org/W2338579811","https://openalex.org/W2528076616","https://openalex.org/W2735638474","https://openalex.org/W6681239517","https://openalex.org/W6690562359"],"related_works":["https://openalex.org/W3144754139","https://openalex.org/W1849857383","https://openalex.org/W2037607410","https://openalex.org/W2905518819","https://openalex.org/W2984104979","https://openalex.org/W4211230453","https://openalex.org/W2942534666","https://openalex.org/W4307882460","https://openalex.org/W1974778685","https://openalex.org/W4399283019"],"abstract_inverted_index":{"Basically":[0],"every":[1],"digital":[2,36],"camera":[3,37,69],"can":[4],"acquire":[5],"information":[6,137],"that":[7,111],"extends":[8],"the":[9,13,18,30,41,50,63,71,94,97,112,115,124,134,146],"visible":[10],"spectrum":[11,20],"since":[12],"sensor":[14],"is":[15,121,131],"sensitive":[16],"to":[17,29,89,118,133,141],"near-infrared":[19],"-":[21],"and":[22,38,78,80,123,138],"this":[23,119],"sometimes":[24],"requires":[25],"only":[26],"minor":[27],"modifications":[28],"device.":[31],"So,":[32],"using":[33],"a":[34,82],"conventional":[35],"stripping":[39],"off":[40],"internal":[42],"ICF":[43],"(Infrared":[44],"Cut-off":[45],"Filter)":[46],"filter,":[47],"we":[48],"use":[49],"captured":[51],"Visible":[52],"+":[53],"NIR":[54,130],"images":[55,87],"(also":[56],"called":[57],"full-spectrum":[58,86],"or":[59],"VNIR":[60],"images)":[61],"for":[62],"classical":[64],"face":[65],"recognition":[66,125],"problem.":[67],"The":[68,108],"stores":[70],"image":[72],"as":[73,106],"3":[74],"channels":[75],"RGB":[76],"files,":[77],"training":[79],"evaluating":[81],"CNN":[83],"with":[84,99],"these":[85],"lead":[88],"surprisingly":[90],"good":[91],"results.":[92],"On":[93],"contrary,":[95],"doing":[96],"same":[98],"RGB+NIR":[100],"(4":[101],"channels)":[102],"does":[103],"not":[104],"perform":[105],"well.":[107],"paper":[109],"shows":[110],"contribution":[113],"of":[114],"blue":[116,147],"channel":[117],"task":[120],"weak,":[122],"rate":[126],"raises":[127],"significantly":[128],"when":[129],"added":[132],"channels,":[135],"adding":[136],"increasing":[139],"signal":[140],"noise":[142],"ratio":[143],"especially":[144],"in":[145],"channel.":[148]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
