{"id":"https://openalex.org/W2969960970","doi":"https://doi.org/10.1109/est.2019.8806202","title":"Multi-Metric Evaluation of Thermal-to-Visual Face Recognition","display_name":"Multi-Metric Evaluation of Thermal-to-Visual Face Recognition","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2969960970","doi":"https://doi.org/10.1109/est.2019.8806202","mag":"2969960970"},"language":"en","primary_location":{"id":"doi:10.1109/est.2019.8806202","is_oa":false,"landing_page_url":"https://doi.org/10.1109/est.2019.8806202","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Eighth International Conference on Emerging Security Technologies (EST)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2007.11987","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070572598","display_name":"Kenneth Lai","orcid":"https://orcid.org/0000-0003-1513-5509"},"institutions":[{"id":"https://openalex.org/I168635309","display_name":"University of Calgary","ror":"https://ror.org/03yjb2x39","country_code":"CA","type":"education","lineage":["https://openalex.org/I168635309"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Kenneth Lai","raw_affiliation_strings":["Dept. Electrical & Computer Engineering, University of Calgary, Canada"],"affiliations":[{"raw_affiliation_string":"Dept. Electrical & Computer Engineering, University of Calgary, Canada","institution_ids":["https://openalex.org/I168635309"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085946799","display_name":"Svetlana Yanushkevich","orcid":"https://orcid.org/0000-0003-4794-9849"},"institutions":[{"id":"https://openalex.org/I168635309","display_name":"University of Calgary","ror":"https://ror.org/03yjb2x39","country_code":"CA","type":"education","lineage":["https://openalex.org/I168635309"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Svetlana N. Yanushkevich","raw_affiliation_strings":["Dept. Electrical & Computer Engineering, University of Calgary, Canada"],"affiliations":[{"raw_affiliation_string":"Dept. Electrical & Computer Engineering, University of Calgary, Canada","institution_ids":["https://openalex.org/I168635309"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5070572598"],"corresponding_institution_ids":["https://openalex.org/I168635309"],"apc_list":null,"apc_paid":null,"fwci":0.5109,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.69494902,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"10","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":0.9998999834060669,"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/T10057","display_name":"Face and Expression Recognition","score":0.9984999895095825,"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/T10828","display_name":"Biometric Identification and Security","score":0.9891999959945679,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.8051978349685669},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.7884117364883423},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7806100845336914},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.70695561170578},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6877663731575012},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6472843289375305},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5937197208404541},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5483161807060242},{"id":"https://openalex.org/keywords/three-dimensional-face-recognition","display_name":"Three-dimensional face recognition","score":0.5218504667282104},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4995851516723633},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.49887895584106445},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4873879551887512},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.34360969066619873},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.31413254141807556}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8051978349685669},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.7884117364883423},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7806100845336914},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.70695561170578},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6877663731575012},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6472843289375305},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5937197208404541},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5483161807060242},{"id":"https://openalex.org/C88799230","wikidata":"https://www.wikidata.org/wiki/Q3398329","display_name":"Three-dimensional face recognition","level":5,"score":0.5218504667282104},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4995851516723633},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.49887895584106445},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4873879551887512},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.34360969066619873},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.31413254141807556},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/est.2019.8806202","is_oa":false,"landing_page_url":"https://doi.org/10.1109/est.2019.8806202","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Eighth International Conference on Emerging Security Technologies (EST)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2007.11987","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2007.11987","pdf_url":"https://arxiv.org/pdf/2007.11987","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2007.11987","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2007.11987","pdf_url":"https://arxiv.org/pdf/2007.11987","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W195533127","https://openalex.org/W1530303756","https://openalex.org/W1901129140","https://openalex.org/W1913277147","https://openalex.org/W1991410148","https://openalex.org/W2015153526","https://openalex.org/W2043167551","https://openalex.org/W2078940929","https://openalex.org/W2099471712","https://openalex.org/W2115252128","https://openalex.org/W2183341477","https://openalex.org/W2204652942","https://openalex.org/W2339754110","https://openalex.org/W2474531669","https://openalex.org/W2523746035","https://openalex.org/W2531409750","https://openalex.org/W2599180264","https://openalex.org/W2612445135","https://openalex.org/W2962793481","https://openalex.org/W2963276927","https://openalex.org/W2963294002","https://openalex.org/W4297775537","https://openalex.org/W4320013936","https://openalex.org/W6607976765","https://openalex.org/W6639824700","https://openalex.org/W6677618333","https://openalex.org/W6727794398","https://openalex.org/W6737664043"],"related_works":["https://openalex.org/W2166031825","https://openalex.org/W2918845005","https://openalex.org/W4387163326","https://openalex.org/W2040482211","https://openalex.org/W2185537520","https://openalex.org/W325114128","https://openalex.org/W2336272890","https://openalex.org/W2985118265","https://openalex.org/W4312238398","https://openalex.org/W4308999963"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"aim":[4],"to":[5,18,40,52],"address":[6],"the":[7,50,64,89],"problem":[8],"of":[9,28,37,66,93],"heterogeneous":[10],"or":[11],"cross-spectral":[12],"face":[13,22,30,44,59,83,102],"recognition":[14],"using":[15,69,78,97],"machine":[16],"learning":[17],"synthesize":[19],"visual":[20],"spectrum":[21],"from":[23],"infrared":[24],"images.":[25],"The":[26,75],"synthesis":[27],"visual-band":[29],"images":[31,68],"allows":[32],"for":[33,43,58,101],"more":[34],"optimal":[35],"extraction":[36],"facial":[38],"features":[39,76],"be":[41],"used":[42],"identification":[45,84],"and/or":[46],"verification.":[47,86,103],"We":[48,87],"explore":[49,88],"ability":[51],"use":[53],"Generative":[54],"Adversarial":[55],"Networks":[56,73],"(GANs)":[57],"image":[60],"synthesis,":[61],"and":[62,85],"examine":[63],"performance":[65,90],"these":[67],"pre-trained":[70],"Convolutional":[71],"Neural":[72],"(CNNs).":[74],"extracted":[77],"CNNs":[79],"are":[80],"applied":[81],"in":[82,91],"terms":[92],"acceptance":[94],"rate":[95],"when":[96],"various":[98],"similarity":[99],"measures":[100]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
