{"id":"https://openalex.org/W4389777304","doi":"https://doi.org/10.1109/biosig58226.2023.10345997","title":"LVT Face Database: A Benchmark Database for Visible and Hidden Face Biometrics","display_name":"LVT Face Database: A Benchmark Database for Visible and Hidden Face Biometrics","publication_year":2023,"publication_date":"2023-09-20","ids":{"openalex":"https://openalex.org/W4389777304","doi":"https://doi.org/10.1109/biosig58226.2023.10345997"},"language":"en","primary_location":{"id":"doi:10.1109/biosig58226.2023.10345997","is_oa":false,"landing_page_url":"https://doi.org/10.1109/biosig58226.2023.10345997","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference of the Biometrics Special Interest Group (BIOSIG)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-04198573v1/document","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038609556","display_name":"N\u00e9lida Mirabet-Herranz","orcid":"https://orcid.org/0000-0002-3372-1192"},"institutions":[{"id":"https://openalex.org/I1902872","display_name":"EURECOM","ror":"https://ror.org/00sse7z02","country_code":"FR","type":"education","lineage":["https://openalex.org/I1902872","https://openalex.org/I205703379"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Nelida Mirabet-Herranz","raw_affiliation_strings":["EURECOM,Dept. of Digital Security,Biot,France","Dept. of Digital Security, EURECOM, Biot, France"],"affiliations":[{"raw_affiliation_string":"EURECOM,Dept. of Digital Security,Biot,France","institution_ids":["https://openalex.org/I1902872"]},{"raw_affiliation_string":"Dept. of Digital Security, EURECOM, Biot, France","institution_ids":["https://openalex.org/I1902872"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055361726","display_name":"Jean\u2010Luc Dugelay","orcid":"https://orcid.org/0000-0003-3151-4330"},"institutions":[{"id":"https://openalex.org/I1902872","display_name":"EURECOM","ror":"https://ror.org/00sse7z02","country_code":"FR","type":"education","lineage":["https://openalex.org/I1902872","https://openalex.org/I205703379"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jean-Luc Dugelay","raw_affiliation_strings":["EURECOM,Dept. of Digital Security,Biot,France","Dept. of Digital Security, EURECOM, Biot, France"],"affiliations":[{"raw_affiliation_string":"EURECOM,Dept. of Digital Security,Biot,France","institution_ids":["https://openalex.org/I1902872"]},{"raw_affiliation_string":"Dept. of Digital Security, EURECOM, Biot, France","institution_ids":["https://openalex.org/I1902872"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5038609556"],"corresponding_institution_ids":["https://openalex.org/I1902872"],"apc_list":null,"apc_paid":null,"fwci":1.1415,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.79737858,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12994","display_name":"Infrared Thermography in Medicine","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T12994","display_name":"Infrared Thermography in Medicine","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9940999746322632,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.9818000197410583,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.782522439956665},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7547697424888611},{"id":"https://openalex.org/keywords/metadata","display_name":"Metadata","score":0.7151281833648682},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6671760082244873},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5912194848060608},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.5793578624725342},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5689994096755981},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.5521202087402344},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5397812128067017},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.47008705139160156},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4171147346496582},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3077341914176941},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1202058494091034},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08406475186347961}],"concepts":[{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.782522439956665},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7547697424888611},{"id":"https://openalex.org/C93518851","wikidata":"https://www.wikidata.org/wiki/Q180160","display_name":"Metadata","level":2,"score":0.7151281833648682},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6671760082244873},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5912194848060608},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.5793578624725342},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5689994096755981},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.5521202087402344},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5397812128067017},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.47008705139160156},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4171147346496582},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3077341914176941},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1202058494091034},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08406475186347961},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/biosig58226.2023.10345997","is_oa":false,"landing_page_url":"https://doi.org/10.1109/biosig58226.2023.10345997","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference of the Biometrics Special Interest Group (BIOSIG)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-04198573v1","is_oa":true,"landing_page_url":"https://hal.science/hal-04198573","pdf_url":"https://hal.science/hal-04198573v1/document","source":{"id":"https://openalex.org/S4406922461","display_name":"SPIRE - Sciences Po Institutional REpository","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":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BIOSIG 2023, 22nd International Conference of the Biometrics Special Interest Group, IEEE, Sep 2023, Darmstadt, Germany","raw_type":"Conference papers"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-04198573v1","is_oa":true,"landing_page_url":"https://hal.science/hal-04198573","pdf_url":"https://hal.science/hal-04198573v1/document","source":{"id":"https://openalex.org/S4406922461","display_name":"SPIRE - Sciences Po Institutional REpository","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":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BIOSIG 2023, 22nd International Conference of the Biometrics Special Interest Group, IEEE, Sep 2023, Darmstadt, Germany","raw_type":"Conference papers"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4389777304.pdf","grobid_xml":"https://content.openalex.org/works/W4389777304.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W1988710642","https://openalex.org/W2061444805","https://openalex.org/W2106947945","https://openalex.org/W2802125287","https://openalex.org/W2854242199","https://openalex.org/W2895871011","https://openalex.org/W2902038035","https://openalex.org/W2902139631","https://openalex.org/W3037074913","https://openalex.org/W3116336612","https://openalex.org/W3119532581","https://openalex.org/W3120235572","https://openalex.org/W3161402421","https://openalex.org/W3212579856","https://openalex.org/W4210652741","https://openalex.org/W4220852784","https://openalex.org/W4224935441","https://openalex.org/W4297336971","https://openalex.org/W4321020790","https://openalex.org/W4375869172","https://openalex.org/W4380028476","https://openalex.org/W6730243398"],"related_works":["https://openalex.org/W2392768766","https://openalex.org/W2058118494","https://openalex.org/W2382021449","https://openalex.org/W2095118173","https://openalex.org/W2104269053","https://openalex.org/W2106424170","https://openalex.org/W1985426483","https://openalex.org/W2501188010","https://openalex.org/W4299935056","https://openalex.org/W2010935248"],"abstract_inverted_index":{"Although":[0],"the":[1,21,72,81,87,92,119,145,149],"estimation":[2,68,156],"of":[3,18,32,75,83,86,94,135,151],"eHealth":[4],"parameters":[5],"from":[6,69,130,157],"face":[7,114],"visuals":[8],"(images":[9],"and":[10,47,80,108,125,128,139],"videos)":[11],"has":[12,54],"grown":[13],"as":[14,56,65],"a":[15,41,57],"major":[16],"area":[17],"research":[19],"in":[20,89,100],"past":[22],"years,":[23],"deep-learning-based":[24],"models":[25],"are":[26],"still":[27],"challenged":[28],"by":[29,98],"RGB":[30],"lack":[31,82],"robustness,":[33],"for":[34,113,154],"instance":[35],"with":[36,133],"changing":[37],"illumination":[38],"conditions.":[39],"As":[40],"means":[42],"to":[43,48,60],"overcome":[44],"these":[45],"limitations":[46],"unlock":[49],"new":[50],"opportunities,":[51],"thermal":[52,78,126,152],"imagery":[53,79],"arisen":[55],"favorable":[58],"alternative":[59],"solidify":[61],"different":[62],"technologies":[63],"such":[64],"heart":[66],"rate":[67],"faces.":[70],"However,":[71],"reduced":[73],"number":[74],"databases":[76],"containing":[77],"health":[84,140],"annotation":[85],"subjects":[88,132],"them":[90],"limits":[91],"exploration":[93],"this":[95,101],"spectrum.":[96],"Motivated":[97],"this,":[99],"paper,":[102],"we":[103,143],"present":[104],"our":[105,160],"Label-EURECOM":[106],"Visible":[107],"Thermal":[109],"(LVT)":[110],"Face":[111],"Database":[112],"biometrics.":[115],"This":[116],"database":[117],"is":[118],"first":[120,146],"that":[121],"contains":[122],"paired":[123],"visible":[124],"images":[127,153],"videos":[129],"52":[131],"metadata":[134],"22":[136],"soft":[137],"biometrics":[138],"parameters.":[141],"Moreover,":[142],"establish":[144],"study":[147],"introducing":[148],"potential":[150],"weight":[155],"faces":[158],"on":[159],"database.":[161]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
