{"id":"https://openalex.org/W2804767509","doi":"https://doi.org/10.1109/atsip.2018.8364461","title":"A novel approach based on high order tensor and multi-scale locals features for 3D face recognition","display_name":"A novel approach based on high order tensor and multi-scale locals features for 3D face recognition","publication_year":2018,"publication_date":"2018-03-01","ids":{"openalex":"https://openalex.org/W2804767509","doi":"https://doi.org/10.1109/atsip.2018.8364461","mag":"2804767509"},"language":"en","primary_location":{"id":"doi:10.1109/atsip.2018.8364461","is_oa":false,"landing_page_url":"https://doi.org/10.1109/atsip.2018.8364461","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)","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/A5090363703","display_name":"Mohcene Bessaoudi","orcid":null},"institutions":[{"id":"https://openalex.org/I206961696","display_name":"University of Biskra","ror":"https://ror.org/05fr5y859","country_code":"DZ","type":"education","lineage":["https://openalex.org/I206961696"]}],"countries":["DZ"],"is_corresponding":true,"raw_author_name":"Mohcene Bessaoudi","raw_affiliation_strings":["Department of Electrical Engineering, University of Biskra, Biskra, Algeria"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Biskra, Biskra, Algeria","institution_ids":["https://openalex.org/I206961696"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033344291","display_name":"M\u00e9barka Belahcene","orcid":null},"institutions":[{"id":"https://openalex.org/I206961696","display_name":"University of Biskra","ror":"https://ror.org/05fr5y859","country_code":"DZ","type":"education","lineage":["https://openalex.org/I206961696"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Mebarka Belahcene","raw_affiliation_strings":["Department of Electrical Engineering, University of Biskra, Biskra, Algeria"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Biskra, Biskra, Algeria","institution_ids":["https://openalex.org/I206961696"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055308914","display_name":"Abdelmalik Ouamane","orcid":"https://orcid.org/0000-0003-2549-5188"},"institutions":[{"id":"https://openalex.org/I206961696","display_name":"University of Biskra","ror":"https://ror.org/05fr5y859","country_code":"DZ","type":"education","lineage":["https://openalex.org/I206961696"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Abdelmalik Ouamane","raw_affiliation_strings":["Department of Electrical Engineering, University of Biskra, Biskra, Algeria"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Biskra, Biskra, Algeria","institution_ids":["https://openalex.org/I206961696"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052863335","display_name":"Salah Bourennane","orcid":"https://orcid.org/0000-0002-4683-6685"},"institutions":[{"id":"https://openalex.org/I4210142724","display_name":"Centrale Marseille","ror":"https://ror.org/040baw385","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210142724"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Salah Bourennane","raw_affiliation_strings":["UMR CNRS 7249, Ecole Centrale, Marseille, France"],"affiliations":[{"raw_affiliation_string":"UMR CNRS 7249, Ecole Centrale, Marseille, France","institution_ids":["https://openalex.org/I4210142724","https://openalex.org/I1294671590"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5090363703"],"corresponding_institution_ids":["https://openalex.org/I206961696"],"apc_list":null,"apc_paid":null,"fwci":0.3134,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.60704241,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9991999864578247,"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":0.9991999864578247,"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":0.9973000288009644,"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":0.9909999966621399,"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/tensor","display_name":"Tensor (intrinsic definition)","score":0.741461992263794},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.6945643424987793},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.6179986000061035},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6012517809867859},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.593949019908905},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5794048309326172},{"id":"https://openalex.org/keywords/multilinear-map","display_name":"Multilinear map","score":0.5585741400718689},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5459025502204895},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.44707223773002625},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.4238317608833313},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.4116831421852112},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3414572775363922},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2451806366443634},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09641271829605103},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.07640713453292847}],"concepts":[{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.741461992263794},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.6945643424987793},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.6179986000061035},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6012517809867859},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.593949019908905},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5794048309326172},{"id":"https://openalex.org/C84392682","wikidata":"https://www.wikidata.org/wiki/Q1952404","display_name":"Multilinear map","level":2,"score":0.5585741400718689},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5459025502204895},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.44707223773002625},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.4238317608833313},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.4116831421852112},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3414572775363922},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2451806366443634},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09641271829605103},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.07640713453292847},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/atsip.2018.8364461","is_oa":false,"landing_page_url":"https://doi.org/10.1109/atsip.2018.8364461","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.6899999976158142}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1502160187","https://openalex.org/W1566413196","https://openalex.org/W1607979445","https://openalex.org/W1945705500","https://openalex.org/W1971419803","https://openalex.org/W1982285588","https://openalex.org/W1993398660","https://openalex.org/W2035270720","https://openalex.org/W2035835595","https://openalex.org/W2061893255","https://openalex.org/W2087425408","https://openalex.org/W2116888754","https://openalex.org/W2123180320","https://openalex.org/W2128728535","https://openalex.org/W2141200867","https://openalex.org/W2165731615","https://openalex.org/W2401696618","https://openalex.org/W2700273814","https://openalex.org/W2731194418","https://openalex.org/W2744972750","https://openalex.org/W4300611126","https://openalex.org/W6630005630"],"related_works":["https://openalex.org/W2922481674","https://openalex.org/W3193555930","https://openalex.org/W1572092093","https://openalex.org/W2893527900","https://openalex.org/W1570745949","https://openalex.org/W3043534693","https://openalex.org/W3177385724","https://openalex.org/W2535617683","https://openalex.org/W200201533","https://openalex.org/W4171918"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"an":[3],"efficient":[4],"framework":[5],"for":[6],"verification":[7],"using":[8],"3D":[9,21],"information":[10],"based":[11,124],"on":[12,134],"high":[13,150],"order":[14,59],"tensor":[15,70,85,98],"representation":[16],"in":[17,86,91,116],"uncontrolled":[18],"conditions.":[19],"The":[20,127,141],"depth":[22],"images":[23],"are":[24,44,71],"subdivided":[25],"into":[26],"sub-blocks":[27],"and":[28,46,51],"the":[29,68,83,93,111,117,120,135],"Multi-Scale":[30,38],"Local":[31],"Binarised":[32],"Statistical":[33],"Image":[34],"Features":[35],"(MSBSIF)":[36],"+":[37],"local":[39],"phase":[40],"quantization":[41],"(MSLPQ)":[42],"histograms":[43],"extracted":[45],"concatenated":[47],"from":[48],"each":[49,96],"block":[50],"organized":[52],"as":[53],"a":[54,87,149],"3":[55],"<sup":[56],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[57],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">rd</sup>":[58],"tensor.":[60],"Moreover,":[61],"two":[62],"steps":[63],"of":[64,95,113],"dimensionally":[65],"reduction":[66],"to":[67,81,109],"face":[69,84,137],"used.":[72],"Firstly,":[73],"Multilinear":[74],"Principal":[75],"Component":[76],"Analysis":[77],"(MPCA)":[78],"is":[79,99,107,122],"used":[80],"project":[82],"new":[88],"subspace":[89],"features":[90],"which":[92],"dimension":[94],"mode":[97],"reduced.":[100],"After":[101],"that,":[102],"Enhanced":[103],"Fisher":[104],"Model":[105],"(EFM)":[106],"applied":[108],"discriminate":[110],"faces":[112],"diverse":[114],"persons":[115],"database.":[118],"Finally,":[119],"corresponding":[121],"achieved":[123],"distance":[125],"measurement.":[126],"proposed":[128],"approach":[129],"(MPCA+EFM)":[130],"has":[131],"been":[132],"evaluated":[133],"challenging":[136],"database":[138],"Bosporus":[139],"3D.":[140],"experimental":[142],"results":[143],"demonstrate":[144],"that":[145],"our":[146],"method":[147],"attains":[148],"authentication":[151],"performance.":[152]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
