{"id":"https://openalex.org/W2129041434","doi":"https://doi.org/10.1109/icip.2009.5413446","title":"Fast and efficient 3D face recognition using wavelet networks","display_name":"Fast and efficient 3D face recognition using wavelet networks","publication_year":2009,"publication_date":"2009-11-01","ids":{"openalex":"https://openalex.org/W2129041434","doi":"https://doi.org/10.1109/icip.2009.5413446","mag":"2129041434"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2009.5413446","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2009.5413446","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 16th IEEE International Conference on Image Processing (ICIP)","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/A5008003561","display_name":"Salwa Said","orcid":"https://orcid.org/0009-0005-3260-5949"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I142899784","display_name":"University of Sfax","ror":"https://ror.org/04d4sd432","country_code":"TN","type":"education","lineage":["https://openalex.org/I142899784"]},{"id":"https://openalex.org/I205703379","display_name":"Institut Mines-T\u00e9l\u00e9com","ror":"https://ror.org/025vp2923","country_code":"FR","type":"facility","lineage":["https://openalex.org/I205703379"]},{"id":"https://openalex.org/I4210160005","display_name":"Computer Science Laboratory of Lille","ror":null,"country_code":"FR","type":null,"lineage":["https://openalex.org/I4210160005"]}],"countries":["FR","TN"],"is_corresponding":false,"raw_author_name":"Salwa Said","raw_affiliation_strings":["Institut TELECOM; Telecom Lille 1, LIFL (UMR USTL/CNRS 8022), France","National Engineering School of Sfax, University of Sfax, Tunisia","Institut TELECOM","Telecom Lille 1, LIFL (UMR USTL/CNRS 8022), France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut TELECOM; Telecom Lille 1, LIFL (UMR USTL/CNRS 8022), France","institution_ids":["https://openalex.org/I205703379","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"National Engineering School of Sfax, University of Sfax, Tunisia","institution_ids":["https://openalex.org/I142899784"]},{"raw_affiliation_string":"Institut TELECOM","institution_ids":["https://openalex.org/I205703379"]},{"raw_affiliation_string":"Telecom Lille 1, LIFL (UMR USTL/CNRS 8022), France","institution_ids":["https://openalex.org/I4210160005","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056179227","display_name":"Boulbaba Ben Amor","orcid":"https://orcid.org/0000-0002-4176-9305"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I205703379","display_name":"Institut Mines-T\u00e9l\u00e9com","ror":"https://ror.org/025vp2923","country_code":"FR","type":"facility","lineage":["https://openalex.org/I205703379"]},{"id":"https://openalex.org/I4210160005","display_name":"Computer Science Laboratory of Lille","ror":null,"country_code":"FR","type":null,"lineage":["https://openalex.org/I4210160005"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Boulbaba Ben Amor","raw_affiliation_strings":["Institut TELECOM; Telecom Lille 1, LIFL (UMR USTL/CNRS 8022), France","Telecom Lille 1, LIFL (UMR USTL/CNRS 8022), France","Institut TELECOM"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut TELECOM; Telecom Lille 1, LIFL (UMR USTL/CNRS 8022), France","institution_ids":["https://openalex.org/I205703379","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"Telecom Lille 1, LIFL (UMR USTL/CNRS 8022), France","institution_ids":["https://openalex.org/I4210160005","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"Institut TELECOM","institution_ids":["https://openalex.org/I205703379"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074838703","display_name":"Mourad Zaied","orcid":"https://orcid.org/0000-0003-4013-5834"},"institutions":[{"id":"https://openalex.org/I142899784","display_name":"University of Sfax","ror":"https://ror.org/04d4sd432","country_code":"TN","type":"education","lineage":["https://openalex.org/I142899784"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Mourad Zaied","raw_affiliation_strings":["National Engineering School of Sfax, University of Sfax, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Engineering School of Sfax, University of Sfax, Tunisia","institution_ids":["https://openalex.org/I142899784"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036168795","display_name":"Chokri Ben Amar","orcid":"https://orcid.org/0000-0002-0129-7577"},"institutions":[{"id":"https://openalex.org/I142899784","display_name":"University of Sfax","ror":"https://ror.org/04d4sd432","country_code":"TN","type":"education","lineage":["https://openalex.org/I142899784"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Chokri Ben Amar","raw_affiliation_strings":["National Engineering School of Sfax, University of Sfax, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Engineering School of Sfax, University of Sfax, Tunisia","institution_ids":["https://openalex.org/I142899784"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017977139","display_name":"Mohamed Daoudi","orcid":"https://orcid.org/0000-0003-4219-7860"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I205703379","display_name":"Institut Mines-T\u00e9l\u00e9com","ror":"https://ror.org/025vp2923","country_code":"FR","type":"facility","lineage":["https://openalex.org/I205703379"]},{"id":"https://openalex.org/I4210160005","display_name":"Computer Science Laboratory of Lille","ror":null,"country_code":"FR","type":null,"lineage":["https://openalex.org/I4210160005"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Mohamed Daoudi","raw_affiliation_strings":["Institut TELECOM; Telecom Lille 1, LIFL (UMR USTL/CNRS 8022), France","Telecom Lille 1, LIFL (UMR USTL/CNRS 8022), France","Institut TELECOM"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut TELECOM; Telecom Lille 1, LIFL (UMR USTL/CNRS 8022), France","institution_ids":["https://openalex.org/I205703379","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"Telecom Lille 1, LIFL (UMR USTL/CNRS 8022), France","institution_ids":["https://openalex.org/I4210160005","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"Institut TELECOM","institution_ids":["https://openalex.org/I205703379"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3139,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.83091744,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"3","issue":null,"first_page":"4153","last_page":"4156"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9990000128746033,"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":0.9990000128746033,"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":0.996999979019165,"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/T13579","display_name":"Image and Video Stabilization","score":0.9951000213623047,"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/biometrics","display_name":"Biometrics","score":0.8156617879867554},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7299341559410095},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7108858823776245},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.7082552909851074},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6754742860794067},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6018122434616089},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5862725973129272},{"id":"https://openalex.org/keywords/three-dimensional-face-recognition","display_name":"Three-dimensional face recognition","score":0.5552845001220703},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5468361973762512},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5410498380661011},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.5401197671890259},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.4954034090042114},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.48447656631469727},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.42385274171829224},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.41831907629966736},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.3984180986881256},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13609489798545837}],"concepts":[{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.8156617879867554},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7299341559410095},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7108858823776245},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.7082552909851074},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6754742860794067},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6018122434616089},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5862725973129272},{"id":"https://openalex.org/C88799230","wikidata":"https://www.wikidata.org/wiki/Q3398329","display_name":"Three-dimensional face recognition","level":5,"score":0.5552845001220703},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5468361973762512},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5410498380661011},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.5401197671890259},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.4954034090042114},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.48447656631469727},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.42385274171829224},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.41831907629966736},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.3984180986881256},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13609489798545837},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2009.5413446","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2009.5413446","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 16th IEEE International Conference on Image Processing (ICIP)","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":16,"referenced_works":["https://openalex.org/W1494552275","https://openalex.org/W1967282395","https://openalex.org/W2048388799","https://openalex.org/W2049981393","https://openalex.org/W2098236528","https://openalex.org/W2105383974","https://openalex.org/W2117715370","https://openalex.org/W2135042441","https://openalex.org/W2137659841","https://openalex.org/W2157954685","https://openalex.org/W2166164984","https://openalex.org/W2293747114","https://openalex.org/W2394543221","https://openalex.org/W2531965858","https://openalex.org/W2543766501","https://openalex.org/W6680642933"],"related_works":["https://openalex.org/W325114128","https://openalex.org/W4206923589","https://openalex.org/W3034828634","https://openalex.org/W3014491775","https://openalex.org/W2184186800","https://openalex.org/W980171259","https://openalex.org/W4360994936","https://openalex.org/W1571439987","https://openalex.org/W74006108","https://openalex.org/W2362246177"],"abstract_inverted_index":{"3D":[0,71],"shape":[1],"of":[2,46,70,90,105,111,131],"face":[3,12,40,92],"has":[4],"recently":[5],"emerged":[6],"as":[7],"a":[8,38,67,95,134],"major":[9],"research":[10],"in":[11,56,83],"biometrics.":[13],"However,":[14],"while":[15],"it":[16],"is":[17,81,101,114,141],"reputed":[18],"to":[19,23,31,61,85,143],"be":[20],"relatively":[21],"invariant":[22],"lighting":[24],"conditions":[25],"and":[26,43,97,129],"pose,":[27],"one":[28],"still":[29],"needs":[30],"cope":[32],"with":[33],"facial":[34,72],"expression":[35],"variations":[36],"for":[37,50],"reliable":[39],"recognition":[41,73],"solution":[42],"running":[44],"time":[45],"the":[47,87,91,109,127],"matching":[48,110],"algorithms":[49],"fast":[51],"identification":[52],"software.":[53],"We":[54,65],"present":[55],"this":[57],"paper":[58],"our":[59,132],"solutions":[60],"overcome":[62],"these":[63],"limitations.":[64],"propose":[66],"new":[68],"method":[69],"based":[74],"on":[75],"wavelet":[76,106],"networks.":[77,107],"Firstly,":[78],"depth":[79],"image":[80],"preprocessed":[82],"order":[84],"crop":[86],"useful":[88],"area":[89],"image.":[93],"Secondly,":[94],"compact":[96],"representative":[98],"biometric":[99],"signature":[100],"produced":[102],"by":[103,116],"means":[104],"Finally,":[108],"two":[112,122],"faces":[113],"made":[115,144],"computing":[117],"Euclidean":[118],"distance":[119],"between":[120],"their":[121],"corresponding":[123],"signatures.":[124],"To":[125],"show":[126],"efficiency":[128],"accuracy":[130],"approach,":[133],"subset":[135],"taken":[136],"from":[137],"FRGC":[138],"v2":[139],"dataset":[140],"used":[142],"evaluations.":[145]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":11},{"year":2014,"cited_by_count":9},{"year":2013,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
