{"id":"https://openalex.org/W2060566916","doi":"https://doi.org/10.1145/1185448.1185542","title":"3D face authentication by mutual coupled 3D and 2D feature extraction","display_name":"3D face authentication by mutual coupled 3D and 2D feature extraction","publication_year":2006,"publication_date":"2006-03-10","ids":{"openalex":"https://openalex.org/W2060566916","doi":"https://doi.org/10.1145/1185448.1185542","mag":"2060566916"},"language":"en","primary_location":{"id":"doi:10.1145/1185448.1185542","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1185448.1185542","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 44th annual Southeast regional conference","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/A5101504765","display_name":"Ting-Yu Lin","orcid":"https://orcid.org/0000-0003-3595-1570"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"T. H. Lin","raw_affiliation_strings":["National Taiwan University, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108040210","display_name":"Wen\u2010Pin Shih","orcid":"https://orcid.org/0000-0002-6855-5024"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"W. P. Shih","raw_affiliation_strings":["National Taiwan University, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068786587","display_name":"W. C. Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I4210148468","display_name":"Industrial Technology Research Institute","ror":"https://ror.org/05szzwt63","country_code":"TW","type":"nonprofit","lineage":["https://openalex.org/I4210148468"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"W. C. Chen","raw_affiliation_strings":["Industrial Technology Research Institute, Hsinchu, Taiwan"],"affiliations":[{"raw_affiliation_string":"Industrial Technology Research Institute, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I4210148468"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080879163","display_name":"Wen-Jen Ho","orcid":null},"institutions":[{"id":"https://openalex.org/I4210148468","display_name":"Industrial Technology Research Institute","ror":"https://ror.org/05szzwt63","country_code":"TW","type":"nonprofit","lineage":["https://openalex.org/I4210148468"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"W. Y. Ho","raw_affiliation_strings":["Industrial Technology Research Institute, Hsinchu, Taiwan"],"affiliations":[{"raw_affiliation_string":"Industrial Technology Research Institute, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I4210148468"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101504765"],"corresponding_institution_ids":["https://openalex.org/I16733864"],"apc_list":null,"apc_paid":null,"fwci":1.5572,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.83401094,"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":"423","last_page":"427"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9983000159263611,"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":0.9983000159263611,"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":0.9962999820709229,"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":0.9850999712944031,"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/computer-science","display_name":"Computer science","score":0.697001039981842},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6529172658920288},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6491147875785828},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.638225793838501},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.633857250213623},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5886259078979492},{"id":"https://openalex.org/keywords/vertex","display_name":"Vertex (graph theory)","score":0.5499942302703857},{"id":"https://openalex.org/keywords/authentication","display_name":"Authentication (law)","score":0.5372040271759033},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.486596941947937},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.435842901468277},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4093916416168213},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10053640604019165},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.09721028804779053}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.697001039981842},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6529172658920288},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6491147875785828},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.638225793838501},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.633857250213623},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5886259078979492},{"id":"https://openalex.org/C80899671","wikidata":"https://www.wikidata.org/wiki/Q1304193","display_name":"Vertex (graph theory)","level":3,"score":0.5499942302703857},{"id":"https://openalex.org/C148417208","wikidata":"https://www.wikidata.org/wiki/Q4825882","display_name":"Authentication (law)","level":2,"score":0.5372040271759033},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.486596941947937},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.435842901468277},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4093916416168213},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10053640604019165},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.09721028804779053},{"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/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1185448.1185542","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1185448.1185542","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 44th annual Southeast regional conference","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":18,"referenced_works":["https://openalex.org/W1555034290","https://openalex.org/W1709036216","https://openalex.org/W1928579664","https://openalex.org/W1967503234","https://openalex.org/W1978684554","https://openalex.org/W1989702938","https://openalex.org/W1993397735","https://openalex.org/W2024765203","https://openalex.org/W2049981393","https://openalex.org/W2063668481","https://openalex.org/W2082261210","https://openalex.org/W2125848778","https://openalex.org/W2146533878","https://openalex.org/W3169507310","https://openalex.org/W4231421859","https://openalex.org/W4232581844","https://openalex.org/W4250428868","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2180954594","https://openalex.org/W2052835778","https://openalex.org/W2049003611","https://openalex.org/W2108418243","https://openalex.org/W2127804977","https://openalex.org/W164103134","https://openalex.org/W2787352659","https://openalex.org/W1970611213","https://openalex.org/W4206560911","https://openalex.org/W2985118265"],"abstract_inverted_index":{"In":[0],"this":[1,135,148],"paper,":[2],"we":[3],"present":[4],"a":[5,15,83],"novel":[6],"method":[7,21,136,149],"for":[8,74,86,129,137],"automatic":[9],"3D":[10,19],"face":[11,77],"authentication.":[12,130,154],"We":[13,81,94,131],"introduce":[14],"coupled":[16],"2D":[17],"and":[18,49,99,107],"feature-extraction":[20],"to":[22,89],"determine":[23],"the":[24,35,39,46,54,67,72,90,104,109,113,120,138,141],"positions":[25],"of":[26,42,119,140],"eye":[27,43,50],"sockets.":[28,44],"The":[29,61,117,144],"nose":[30,47],"tip":[31,48],"is":[32,65,71,127],"considered":[33],"as":[34,103],"extreme":[36],"vertex":[37],"along":[38],"normal":[40],"directions":[41],"Once":[45],"sockets":[51],"are":[52],"found,":[53],"bilateral":[55,68,91],"symmetrical":[56,69,92],"plane":[57,70],"will":[58],"be":[59],"determined.":[60],"central":[62],"profile":[63],"which":[64],"on":[66],"foundation":[73],"recognizing":[75],"human":[76,142],"in":[78,152],"our":[79],"method.":[80],"use":[82],"weighting":[84],"function":[85],"ICP":[87],"according":[88],"behavior.":[93],"take":[95],"2.5D":[96],"range":[97],"image":[98],"its":[100],"corresponding":[101],"texture":[102],"input":[105],"data":[106],"compare":[108],"scanned":[110],"model":[111],"with":[112],"specified":[114],"database":[115],"model.":[116],"value":[118],"weighted":[121],"distance":[122],"between":[123],"two":[124],"compared":[125],"models":[126],"used":[128],"have":[132],"successively":[133],"implemented":[134],"authentication":[139],"faces.":[143],"result":[145],"illustrates":[146],"that":[147],"work":[150],"well":[151],"self":[153]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
