{"id":"https://openalex.org/W2012130731","doi":"https://doi.org/10.1109/fuzz-ieee.2013.6622443","title":"Thermal infrared face recognition based on lattice computing (LC) techniques","display_name":"Thermal infrared face recognition based on lattice computing (LC) techniques","publication_year":2013,"publication_date":"2013-07-01","ids":{"openalex":"https://openalex.org/W2012130731","doi":"https://doi.org/10.1109/fuzz-ieee.2013.6622443","mag":"2012130731"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz-ieee.2013.6622443","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2013.6622443","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","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/A5032725664","display_name":"George A. Papakostas","orcid":"https://orcid.org/0000-0001-5545-1499"},"institutions":[{"id":"https://openalex.org/I53074787","display_name":"Technological Educational Institute of Eastern Macedonia and Thrace","ror":"https://ror.org/0009xxz90","country_code":"GR","type":"education","lineage":["https://openalex.org/I53074787"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"G. A. Papakostas","raw_affiliation_strings":["Human-Machines Interaction (HMI) Laboratory Department of Industrial Informatics, TEI of Kavala, Kavala, Greece","Dept. of Ind. Inf., TEI of Kavala, Kavala, Greece"],"affiliations":[{"raw_affiliation_string":"Human-Machines Interaction (HMI) Laboratory Department of Industrial Informatics, TEI of Kavala, Kavala, Greece","institution_ids":["https://openalex.org/I53074787"]},{"raw_affiliation_string":"Dept. of Ind. Inf., TEI of Kavala, Kavala, Greece","institution_ids":["https://openalex.org/I53074787"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069693309","display_name":"Vassilis G. Kaburlasos","orcid":"https://orcid.org/0000-0002-1639-0627"},"institutions":[{"id":"https://openalex.org/I53074787","display_name":"Technological Educational Institute of Eastern Macedonia and Thrace","ror":"https://ror.org/0009xxz90","country_code":"GR","type":"education","lineage":["https://openalex.org/I53074787"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"V. G. Kaburlasos","raw_affiliation_strings":["Human-Machines Interaction (HMI) Laboratory Department of Industrial Informatics, TEI of Kavala, Kavala, Greece","Dept. of Ind. Inf., TEI of Kavala, Kavala, Greece"],"affiliations":[{"raw_affiliation_string":"Human-Machines Interaction (HMI) Laboratory Department of Industrial Informatics, TEI of Kavala, Kavala, Greece","institution_ids":["https://openalex.org/I53074787"]},{"raw_affiliation_string":"Dept. of Ind. Inf., TEI of Kavala, Kavala, Greece","institution_ids":["https://openalex.org/I53074787"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071608445","display_name":"Theodore Pachidis","orcid":"https://orcid.org/0000-0001-6329-0533"},"institutions":[{"id":"https://openalex.org/I53074787","display_name":"Technological Educational Institute of Eastern Macedonia and Thrace","ror":"https://ror.org/0009xxz90","country_code":"GR","type":"education","lineage":["https://openalex.org/I53074787"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Th. Pachidis","raw_affiliation_strings":["Human-Machines Interaction (HMI) Laboratory Department of Industrial Informatics, TEI of Kavala, Kavala, Greece","Dept. of Ind. Inf., TEI of Kavala, Kavala, Greece"],"affiliations":[{"raw_affiliation_string":"Human-Machines Interaction (HMI) Laboratory Department of Industrial Informatics, TEI of Kavala, Kavala, Greece","institution_ids":["https://openalex.org/I53074787"]},{"raw_affiliation_string":"Dept. of Ind. Inf., TEI of Kavala, Kavala, Greece","institution_ids":["https://openalex.org/I53074787"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5032725664"],"corresponding_institution_ids":["https://openalex.org/I53074787"],"apc_list":null,"apc_paid":null,"fwci":2.7216,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.91295154,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"27","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9979000091552734,"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/T10057","display_name":"Face and Expression Recognition","score":0.9979000091552734,"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/T10320","display_name":"Neural Networks and Applications","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.974399983882904,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.7300837635993958},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.704214334487915},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6573105454444885},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6560301780700684},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.6054958701133728},{"id":"https://openalex.org/keywords/thermal-infrared","display_name":"Thermal infrared","score":0.5142387747764587},{"id":"https://openalex.org/keywords/lattice","display_name":"Lattice (music)","score":0.5115059614181519},{"id":"https://openalex.org/keywords/infrared","display_name":"Infrared","score":0.4934062063694},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.4629201889038086},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4503253996372223},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4212007224559784},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4163059592247009},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3626003861427307},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15973401069641113},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08343896269798279},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.06554040312767029}],"concepts":[{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.7300837635993958},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.704214334487915},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6573105454444885},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6560301780700684},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.6054958701133728},{"id":"https://openalex.org/C2984335091","wikidata":"https://www.wikidata.org/wiki/Q11388","display_name":"Thermal infrared","level":3,"score":0.5142387747764587},{"id":"https://openalex.org/C2781204021","wikidata":"https://www.wikidata.org/wiki/Q6497091","display_name":"Lattice (music)","level":2,"score":0.5115059614181519},{"id":"https://openalex.org/C158355884","wikidata":"https://www.wikidata.org/wiki/Q11388","display_name":"Infrared","level":2,"score":0.4934062063694},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.4629201889038086},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4503253996372223},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4212007224559784},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4163059592247009},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3626003861427307},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15973401069641113},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08343896269798279},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.06554040312767029},{"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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzz-ieee.2013.6622443","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2013.6622443","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","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":33,"referenced_works":["https://openalex.org/W170773222","https://openalex.org/W358380361","https://openalex.org/W1495623034","https://openalex.org/W1577742532","https://openalex.org/W1578352865","https://openalex.org/W1657991003","https://openalex.org/W1964365590","https://openalex.org/W1973791874","https://openalex.org/W1989702938","https://openalex.org/W1996249507","https://openalex.org/W2003584654","https://openalex.org/W2048645966","https://openalex.org/W2051208899","https://openalex.org/W2055023194","https://openalex.org/W2057106671","https://openalex.org/W2062654302","https://openalex.org/W2064861832","https://openalex.org/W2065915196","https://openalex.org/W2070481511","https://openalex.org/W2096171208","https://openalex.org/W2102927912","https://openalex.org/W2133059825","https://openalex.org/W2163808566","https://openalex.org/W2167922063","https://openalex.org/W2207265802","https://openalex.org/W2408544164","https://openalex.org/W2481482997","https://openalex.org/W3097096317","https://openalex.org/W4229751459","https://openalex.org/W4254106197","https://openalex.org/W4285719527","https://openalex.org/W6637153389","https://openalex.org/W6688114913"],"related_works":["https://openalex.org/W3184332868","https://openalex.org/W2360806688","https://openalex.org/W273971055","https://openalex.org/W3119991676","https://openalex.org/W1858933348","https://openalex.org/W2351006740","https://openalex.org/W3157789538","https://openalex.org/W2985118265","https://openalex.org/W2372640428","https://openalex.org/W4390606651"],"abstract_inverted_index":{"This":[0],"work":[1],"introduces":[2],"a":[3],"novel":[4],"methodology":[5],"for":[6,38],"human":[7],"face":[8],"recognition":[9],"based":[10],"on":[11,18],"lattice":[12],"computing":[13],"kNN":[14],"classification":[15],"techniques":[16,58,71],"applied":[17],"thermal":[19],"infrared":[20],"images.":[21],"Novel":[22],"feature":[23,56],"extraction":[24,57],"and":[25],"knowledge-representation":[26],"engage":[27],"populations":[28],"of":[29,68],"orthogonal":[30],"moments":[31],"represented":[32],"by":[33,48],"intervals'":[34],"numbers,":[35],"or":[36],"INs":[37],"short.":[39],"Preliminary":[40],"experimental":[41],"results":[42,47],"compare":[43],"well":[44,52],"with":[45,54],"the":[46,60,65,69],"alternative":[49,55],"classifiers":[50],"as":[51,53],"from":[59],"literature.":[61],"We":[62],"point":[63],"out":[64],"far-reaching":[66],"potential":[67],"proposed":[70],"to":[72],"big":[73],"data":[74],"applications.":[75]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}