{"id":"https://openalex.org/W1965772718","doi":"https://doi.org/10.1109/icsmc.2010.5642391","title":"Locally adaptive texture features for multispectral face recognition","display_name":"Locally adaptive texture features for multispectral face recognition","publication_year":2010,"publication_date":"2010-10-01","ids":{"openalex":"https://openalex.org/W1965772718","doi":"https://doi.org/10.1109/icsmc.2010.5642391","mag":"1965772718"},"language":"en","primary_location":{"id":"doi:10.1109/icsmc.2010.5642391","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2010.5642391","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Systems, Man and Cybernetics","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/A5039930829","display_name":"Moulay A. Akhloufi","orcid":"https://orcid.org/0000-0002-4378-2669"},"institutions":[{"id":"https://openalex.org/I43406934","display_name":"Universit\u00e9 Laval","ror":"https://ror.org/04sjchr03","country_code":"CA","type":"education","lineage":["https://openalex.org/I43406934"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Moulay A. Akhloufi","raw_affiliation_strings":["Computer Vision and Systems Laboratory, Laval University, QUE, Canada","Computer Vision and Systems Laboratory, Laval University , Quebec City G1V 0A6, Canada"],"affiliations":[{"raw_affiliation_string":"Computer Vision and Systems Laboratory, Laval University, QUE, Canada","institution_ids":["https://openalex.org/I43406934"]},{"raw_affiliation_string":"Computer Vision and Systems Laboratory, Laval University , Quebec City G1V 0A6, Canada","institution_ids":["https://openalex.org/I43406934"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110198335","display_name":"Abdelhakim Bendada","orcid":null},"institutions":[{"id":"https://openalex.org/I43406934","display_name":"Universit\u00e9 Laval","ror":"https://ror.org/04sjchr03","country_code":"CA","type":"education","lineage":["https://openalex.org/I43406934"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Abdelhakim Bendada","raw_affiliation_strings":["Computer Vision and Systems Laboratory, Laval University, QUE, Canada","Computer Vision and Systems Laboratory, Laval University , Quebec City G1V 0A6, Canada"],"affiliations":[{"raw_affiliation_string":"Computer Vision and Systems Laboratory, Laval University, QUE, Canada","institution_ids":["https://openalex.org/I43406934"]},{"raw_affiliation_string":"Computer Vision and Systems Laboratory, Laval University , Quebec City G1V 0A6, Canada","institution_ids":["https://openalex.org/I43406934"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5039930829"],"corresponding_institution_ids":["https://openalex.org/I43406934"],"apc_list":null,"apc_paid":null,"fwci":5.44191019,"has_fulltext":false,"cited_by_count":45,"citation_normalized_percentile":{"value":0.96113489,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"3021","issue":null,"first_page":"3308","last_page":"3314"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","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"}},"topics":[{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","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/T11448","display_name":"Face recognition and analysis","score":0.9815999865531921,"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":0.9736999869346619,"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/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7887980937957764},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7773441076278687},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6551513671875},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.6160088777542114},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.5730247497558594},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5193873047828674},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.4588322043418884},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4076569080352783},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32640939950942993}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7887980937957764},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7773441076278687},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6551513671875},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.6160088777542114},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.5730247497558594},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5193873047828674},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.4588322043418884},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4076569080352783},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32640939950942993},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsmc.2010.5642391","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2010.5642391","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Systems, Man and Cybernetics","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":28,"referenced_works":["https://openalex.org/W1491319300","https://openalex.org/W1512444571","https://openalex.org/W1545641654","https://openalex.org/W1585588639","https://openalex.org/W1600276254","https://openalex.org/W2015944395","https://openalex.org/W2039051707","https://openalex.org/W2071256581","https://openalex.org/W2095743192","https://openalex.org/W2097234964","https://openalex.org/W2117569431","https://openalex.org/W2126420722","https://openalex.org/W2129316059","https://openalex.org/W2131081720","https://openalex.org/W2154872931","https://openalex.org/W2160275140","https://openalex.org/W2163808566","https://openalex.org/W2166164984","https://openalex.org/W2167999447","https://openalex.org/W2168239064","https://openalex.org/W2169472462","https://openalex.org/W2234045158","https://openalex.org/W2980468885","https://openalex.org/W6630381154","https://openalex.org/W6632636493","https://openalex.org/W6674397459","https://openalex.org/W6682644385","https://openalex.org/W6689552794"],"related_works":["https://openalex.org/W4318664220","https://openalex.org/W2771047279","https://openalex.org/W4388409104","https://openalex.org/W2124951708","https://openalex.org/W1544811710","https://openalex.org/W172072032","https://openalex.org/W200201533","https://openalex.org/W4171918","https://openalex.org/W2347824352","https://openalex.org/W2112875849"],"abstract_inverted_index":{"This":[0,14],"work":[1],"introduces":[2],"a":[3,68,160],"new":[4,15,36,96,155],"locally":[5],"adaptive":[6],"texture":[7,97,128],"features":[8,129],"for":[9,71,88],"efficient":[10],"multispectral":[11,72],"face":[12,73,92],"recognition.":[13,74],"descriptor":[16,37],"called":[17],"Local":[18,27],"Adaptive":[19],"Ternary":[20,28],"Pattern":[21,29],"(LATP)":[22],"is":[23,144],"based":[24],"on":[25],"the":[26,32,39,51,95,136,147,154],"(LTP).":[30],"Unlike":[31],"previous":[33],"techniques,":[34],"this":[35],"determines":[38],"local":[40,45],"pattern":[41],"threshold":[42],"automatically":[43],"using":[44,153],"statistics.":[46],"It":[47],"shares":[48],"with":[49,159],"LTP":[50,132],"property":[52],"of":[53,91],"being":[54],"less":[55],"sensitive":[56],"to":[57],"noise,":[58],"illumination":[59],"change":[60],"and":[61,76,81,86,115,133],"facial":[62],"expressions.":[63],"These":[64],"characteristics":[65],"make":[66],"it":[67],"good":[69],"candidate":[70],"Linear":[75,105],"non":[77,161],"linear":[78,162],"subspace":[79,163],"learning":[80,164],"recognition":[82,93,125],"techniques":[83],"are":[84,130,135],"introduced":[85],"used":[87],"performance":[89,126,143],"evaluation":[90],"in":[94,124,146],"space:":[98],"PCA,":[99],"LDA,":[100],"Kernel-PCA":[101],"(KPCA),":[102],"Kernel-LDA":[103],"(KDA),":[104],"Graph":[106],"Embedding":[107],"(LGE),":[108],"Kernel-LGE":[109],"(KLGE),":[110],"Locality":[111],"Preserving":[112],"Projection":[113],"(LPP)":[114],"Kernel-LPP":[116],"(KLPP).":[117],"The":[118,140],"obtained":[119,145],"results":[120],"show":[121],"an":[122],"increase":[123],"when":[127],"used.":[131],"LATP":[134],"best":[137,142],"performing":[138],"techniques.":[139],"overall":[141],"short":[148],"wave":[149],"infrared":[150],"spectrum":[151],"(SWIR)":[152],"proposed":[156],"technique":[157],"combined":[158],"technique.":[165]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":9},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":7},{"year":2012,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
