{"id":"https://openalex.org/W2140097505","doi":"https://doi.org/10.1109/ciss.2014.6814081","title":"Dynamic best spectral bands selection for face recognition","display_name":"Dynamic best spectral bands selection for face recognition","publication_year":2014,"publication_date":"2014-03-01","ids":{"openalex":"https://openalex.org/W2140097505","doi":"https://doi.org/10.1109/ciss.2014.6814081","mag":"2140097505"},"language":"en","primary_location":{"id":"doi:10.1109/ciss.2014.6814081","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ciss.2014.6814081","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 48th Annual Conference on Information Sciences and Systems (CISS)","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/A5010277753","display_name":"Hamdi Jamel Bouchech","orcid":null},"institutions":[{"id":"https://openalex.org/I177064439","display_name":"Universit\u00e9 de Bourgogne","ror":"https://ror.org/03k1bsr36","country_code":"FR","type":"education","lineage":["https://openalex.org/I177064439"]},{"id":"https://openalex.org/I60342839","display_name":"Qatar University","ror":"https://ror.org/00yhnba62","country_code":"QA","type":"education","lineage":["https://openalex.org/I60342839"]}],"countries":["FR","QA"],"is_corresponding":false,"raw_author_name":"Hamdi Jamel Bouchech","raw_affiliation_strings":["Cotnputer Science and Engineering, Qatar University, Doha, Qatar","LE2i Lab., University of Burgundy, Dijon, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cotnputer Science and Engineering, Qatar University, Doha, Qatar","institution_ids":["https://openalex.org/I60342839"]},{"raw_affiliation_string":"LE2i Lab., University of Burgundy, Dijon, France","institution_ids":["https://openalex.org/I177064439"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060004234","display_name":"Sebti Foufou","orcid":"https://orcid.org/0000-0002-3555-9125"},"institutions":[{"id":"https://openalex.org/I60342839","display_name":"Qatar University","ror":"https://ror.org/00yhnba62","country_code":"QA","type":"education","lineage":["https://openalex.org/I60342839"]}],"countries":["QA"],"is_corresponding":false,"raw_author_name":"Sebti Foufou","raw_affiliation_strings":["Cotnputer Science and Engineering, Qatar University, Doha, Qatar","Computer Science and Engineering, CENG, P.O. Box 2713, Qatar University Doha, Qatar"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cotnputer Science and Engineering, Qatar University, Doha, Qatar","institution_ids":["https://openalex.org/I60342839"]},{"raw_affiliation_string":"Computer Science and Engineering, CENG, P.O. Box 2713, Qatar University Doha, Qatar","institution_ids":["https://openalex.org/I60342839"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108362036","display_name":"Mongi A. Abidi","orcid":null},"institutions":[{"id":"https://openalex.org/I75027704","display_name":"University of Tennessee at Knoxville","ror":"https://ror.org/020f3ap87","country_code":"US","type":"education","lineage":["https://openalex.org/I75027704"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mongi Abidi","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, USA","Imaging, Robotics, and Intelligent Systems Laboratory, Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, USA","institution_ids":["https://openalex.org/I75027704"]},{"raw_affiliation_string":"Imaging, Robotics, and Intelligent Systems Laboratory, Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, USA","institution_ids":["https://openalex.org/I75027704"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7416,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.7747689,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"16","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":0.9988999962806702,"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":0.9988999962806702,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9846000075340271,"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"}},{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9552000164985657,"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":0.7690917253494263},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.7310797572135925},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7254279851913452},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.706098198890686},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.68170565366745},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.6701743602752686},{"id":"https://openalex.org/keywords/local-binary-patterns","display_name":"Local binary patterns","score":0.5091437697410583},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5013182163238525},{"id":"https://openalex.org/keywords/spectral-bands","display_name":"Spectral bands","score":0.4654885530471802},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.41732877492904663},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.41610926389694214},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4046875834465027},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.13268178701400757}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7690917253494263},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.7310797572135925},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7254279851913452},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.706098198890686},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.68170565366745},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.6701743602752686},{"id":"https://openalex.org/C87335442","wikidata":"https://www.wikidata.org/wiki/Q2494345","display_name":"Local binary patterns","level":4,"score":0.5091437697410583},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5013182163238525},{"id":"https://openalex.org/C114700698","wikidata":"https://www.wikidata.org/wiki/Q2882278","display_name":"Spectral bands","level":2,"score":0.4654885530471802},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.41732877492904663},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.41610926389694214},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4046875834465027},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.13268178701400757},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ciss.2014.6814081","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ciss.2014.6814081","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 48th Annual Conference on Information Sciences and Systems (CISS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W104915907","https://openalex.org/W1541521713","https://openalex.org/W1996765463","https://openalex.org/W2029098114","https://openalex.org/W2054891869","https://openalex.org/W2065521691","https://openalex.org/W2115064494","https://openalex.org/W2126074213","https://openalex.org/W2130287471","https://openalex.org/W2140341294","https://openalex.org/W2151103935","https://openalex.org/W2153694327","https://openalex.org/W2154455818","https://openalex.org/W2160978182","https://openalex.org/W2161767899","https://openalex.org/W2163808566","https://openalex.org/W4210772362","https://openalex.org/W6682494755"],"related_works":["https://openalex.org/W2581696209","https://openalex.org/W2020430625","https://openalex.org/W2044065526","https://openalex.org/W2955952267","https://openalex.org/W2058306460","https://openalex.org/W2076436625","https://openalex.org/W2083564146","https://openalex.org/W2542672976","https://openalex.org/W2049095871","https://openalex.org/W2148428954"],"abstract_inverted_index":{"In":[0],"this":[1,194],"paper,":[2],"face":[3,48,72,209,220,273],"recognition":[4,125,221],"in":[5,222],"uncontrolled":[6],"illumination":[7,57,226],"conditions":[8,223],"is":[9,14,152,168,195],"investigated.":[10],"A":[11],"twofold":[12],"contribution":[13],"proposed.":[15],"First,":[16],"three":[17,80],"state-of-art":[18],"algorithms,":[19],"namely":[20],"Multiblock":[21],"Local":[22,33],"Binary":[23,35],"Pattern":[24,36],"(MBLBP),":[25],"Histogram":[26,37],"of":[27,78,93,127,137,143,154,180,191,219,233,243,264],"Gabor":[28,34],"Phase":[29],"Patterns":[30],"(HGPP)":[31],"and":[32,131,140,158],"Sequence":[38],"(LGBPHS)":[39],"are":[40],"evaluated":[41],"upon":[42,252],"the":[43,70,76,79,85,91,104,121,124,155,164,173,178,189,196,203,215,231,241,244,253,271],"IRIS-M":[44],"<sup":[45],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[46],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">3</sup>":[47],"database":[49],"to":[50,63,74,101,170,176,200,239],"study":[51],"their":[52],"robustness":[53],"against":[54],"a":[55,99,262],"high":[56,86,225],"variation":[58],"conditions.":[59],"Second,":[60],"we":[61,96],"propose":[62],"use":[64,92],"visible":[65,205],"multispectral":[66,94],"images,":[67,95],"provided":[68],"by":[69,90,247],"same":[71,272],"database,":[73],"enhance":[75],"performance":[77,126,265],"mentioned":[81],"algorithms.":[82],"To":[83,188],"reduce":[84],"data":[87,146],"dimensionality":[88],"introduced":[89],"have":[97],"designed":[98],"system":[100,114,198,259],"dynamically":[102,201],"select":[103,202],"best":[105,116,190,204],"spectral":[106,117,129,162,182,186,206],"bands":[107,118,183,207],"for":[108,115,145,159,208,270],"each":[109,128,160],"new":[110,161],"subject.":[111],"Our":[112,211],"semi-supervised":[113],"selection":[119],"learn":[120],"relation":[122],"between":[123],"band":[130],"its":[132],"intrinsic":[133],"quality":[134],"using":[135],"techniques":[136],"transfer":[138],"learning":[139],"finite":[141],"mixture":[142],"Gaussian":[144],"distribution":[147],"estimation.":[148],"The":[149],"obtained":[150],"model":[151],"function":[153],"image":[156],"quality,":[157],"band,":[163],"likelihood":[165],"ratio":[166],"test":[167],"used":[169],"determine":[171],"if":[172],"former":[174],"belongs":[175],"either":[177],"set":[179],"good":[181],"or":[184],"bad":[185],"bands.":[187],"our":[192,234,257],"knowledge,":[193],"first":[197],"proposed":[199,254],"recognition.":[210],"results":[212],"highlighted":[213],"further":[214],"still":[216],"challenging":[217],"problem":[218],"with":[224],"variation,":[227],"as":[228,230],"well":[229],"effectiveness":[232],"subspectral":[235],"images":[236],"based":[237],"approach":[238],"increase":[240],"accuracy":[242],"studied":[245],"algorithms":[246],"at":[248],"least":[249],"21.66":[250],"%":[251],"database.":[255,274],"Finally,":[256],"dynamic":[258],"has":[260],"shown":[261],"superiority":[263],"over":[266],"non-dynamic":[267],"systems":[268],"developed":[269]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}