{"id":"https://openalex.org/W4285610244","doi":"https://doi.org/10.1145/3529446.3529449","title":"Masked Face Recognition with 3D Facial Geometric Attributes","display_name":"Masked Face Recognition with 3D Facial Geometric Attributes","publication_year":2022,"publication_date":"2022-03-25","ids":{"openalex":"https://openalex.org/W4285610244","doi":"https://doi.org/10.1145/3529446.3529449"},"language":"en","primary_location":{"id":"doi:10.1145/3529446.3529449","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3529446.3529449","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 4th International Conference on Image Processing and Machine Vision (IPMV)","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/A5090218377","display_name":"Yuan Wang","orcid":"https://orcid.org/0000-0002-0067-7375"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"YUAN WANG","raw_affiliation_strings":["School of Computer and Information, Hefei University of Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information, Hefei University of Technology, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084415556","display_name":"Zhen Yang","orcid":"https://orcid.org/0000-0002-7728-916X"},"institutions":[{"id":"https://openalex.org/I197869895","display_name":"Anhui Medical University","ror":"https://ror.org/03xb04968","country_code":"CN","type":"education","lineage":["https://openalex.org/I197869895"]},{"id":"https://openalex.org/I4210149412","display_name":"Second Hospital of Anhui Medical University","ror":"https://ror.org/047aw1y82","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210149412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"ZHEN YANG","raw_affiliation_strings":["The Second Hospital of Anhui Medical University, China"],"affiliations":[{"raw_affiliation_string":"The Second Hospital of Anhui Medical University, China","institution_ids":["https://openalex.org/I4210149412","https://openalex.org/I197869895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058989538","display_name":"ZHIQIANG ZHANG","orcid":null},"institutions":[{"id":"https://openalex.org/I197869895","display_name":"Anhui Medical University","ror":"https://ror.org/03xb04968","country_code":"CN","type":"education","lineage":["https://openalex.org/I197869895"]},{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]},{"id":"https://openalex.org/I4210149412","display_name":"Second Hospital of Anhui Medical University","ror":"https://ror.org/047aw1y82","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210149412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"ZHIQIANG ZHANG","raw_affiliation_strings":["School of Computer and Information, Hefei University of Technology, China and The Second Hospital of Anhui Medical University, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information, Hefei University of Technology, China and The Second Hospital of Anhui Medical University, China","institution_ids":["https://openalex.org/I4210149412","https://openalex.org/I16365422","https://openalex.org/I197869895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037450123","display_name":"Huaijuan Zang","orcid":"https://orcid.org/0000-0002-7995-3562"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"HUAIJUAN ZANG","raw_affiliation_strings":["School of Computer and Information, Hefei University of Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information, Hefei University of Technology, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103273498","display_name":"Qiang Zhu","orcid":"https://orcid.org/0009-0002-8034-3275"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"QIANG ZHU","raw_affiliation_strings":["Department of Commerce and Electronic Information,, Tongcheng Teachers College, China"],"affiliations":[{"raw_affiliation_string":"Department of Commerce and Electronic Information,, Tongcheng Teachers College, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023946047","display_name":"Shu Zhan","orcid":"https://orcid.org/0000-0002-5568-0264"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"SHU ZHAN","raw_affiliation_strings":["School of Computer and Information, Hefei University of Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information, Hefei University of Technology, China","institution_ids":["https://openalex.org/I16365422"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5090218377"],"corresponding_institution_ids":["https://openalex.org/I16365422"],"apc_list":null,"apc_paid":null,"fwci":0.2013,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.46426508,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"13","last_page":"21"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":1.0,"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":1.0,"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":0.9937999844551086,"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"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9932000041007996,"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/facial-recognition-system","display_name":"Facial recognition system","score":0.7812427282333374},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7602119445800781},{"id":"https://openalex.org/keywords/three-dimensional-face-recognition","display_name":"Three-dimensional face recognition","score":0.759243905544281},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6981542110443115},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6112992763519287},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.5947960615158081},{"id":"https://openalex.org/keywords/face-hallucination","display_name":"Face hallucination","score":0.5481916666030884},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5302122831344604},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.49765709042549133},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4889720678329468},{"id":"https://openalex.org/keywords/face-recognition-grand-challenge","display_name":"Face Recognition Grand Challenge","score":0.4683522582054138},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.39550554752349854},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.35781973600387573}],"concepts":[{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.7812427282333374},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7602119445800781},{"id":"https://openalex.org/C88799230","wikidata":"https://www.wikidata.org/wiki/Q3398329","display_name":"Three-dimensional face recognition","level":5,"score":0.759243905544281},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6981542110443115},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6112992763519287},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.5947960615158081},{"id":"https://openalex.org/C54654163","wikidata":"https://www.wikidata.org/wiki/Q5428359","display_name":"Face hallucination","level":5,"score":0.5481916666030884},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5302122831344604},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.49765709042549133},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4889720678329468},{"id":"https://openalex.org/C191070858","wikidata":"https://www.wikidata.org/wiki/Q5428343","display_name":"Face Recognition Grand Challenge","level":5,"score":0.4683522582054138},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.39550554752349854},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.35781973600387573},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3529446.3529449","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3529446.3529449","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 4th International Conference on Image Processing and Machine Vision (IPMV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6899999976158142,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1566413196","https://openalex.org/W2038350430","https://openalex.org/W2057210362","https://openalex.org/W2087932678","https://openalex.org/W2194775991","https://openalex.org/W2325939864","https://openalex.org/W2770446278","https://openalex.org/W2884585870","https://openalex.org/W2902127656","https://openalex.org/W2962898354","https://openalex.org/W2963091558","https://openalex.org/W2963865528","https://openalex.org/W2969985801","https://openalex.org/W2981408674","https://openalex.org/W2996746405","https://openalex.org/W3000996870","https://openalex.org/W3003792425","https://openalex.org/W3010052540","https://openalex.org/W3035693354","https://openalex.org/W3092708662","https://openalex.org/W3093217433","https://openalex.org/W3093367965","https://openalex.org/W3109940015","https://openalex.org/W3112696837","https://openalex.org/W3118643387","https://openalex.org/W3128406261","https://openalex.org/W3155149625"],"related_works":["https://openalex.org/W4285815683","https://openalex.org/W4206923589","https://openalex.org/W325114128","https://openalex.org/W63491089","https://openalex.org/W2184186800","https://openalex.org/W2351727084","https://openalex.org/W2336272890","https://openalex.org/W4200005109","https://openalex.org/W4224441484","https://openalex.org/W2362246177"],"abstract_inverted_index":{"During":[0],"the":[1,4,12,39,48,60,79,85,98,107,133,144,165,173,176,182,186],"coronavirus":[2],"pandemic,":[3],"demand":[5],"for":[6],"contactless":[7],"biometrics":[8],"technology":[9],"has":[10],"promoted":[11],"development":[13],"of":[14,32,41,88,103,111,143,175,184],"masked":[15,20,35,55,70,113,135,168,177,187],"face":[16,21,36,44,71,76,105,114,136,152,161,169,178,188,193],"recognition.":[17],"Training":[18],"a":[19,30,68,119],"recognition":[22,72,115,137,170,189],"model":[23,190],"needs":[24],"to":[25,47,66,96,125],"address":[26],"two":[27],"crucial":[28],"issues:":[29],"lack":[31],"large-scale":[33],"realistic":[34],"datasets":[37,162],"and":[38,54,94,109,147],"difficulty":[40],"obtaining":[42],"robust":[43],"representations":[45],"due":[46],"huge":[49],"difference":[50],"between":[51],"complete":[52],"faces":[53],"faces.":[56],"To":[57],"tackle":[58],"with":[59,74,191],"first":[61],"issue,":[62,81],"this":[63,82],"paper":[64,83],"proposes":[65],"train":[67],"3D":[69,89,104,112,134,160,167],"network":[73,138,171],"non-masked":[75,192],"images.":[77,194],"For":[78],"second":[80],"utilizes":[84],"geometric":[86,129],"features":[87,130],"face,":[90],"namely":[91],"depth,":[92,145],"azimuth,":[93],"elevation,":[95],"represent":[97],"face.":[99],"The":[100,154],"inherent":[101],"advantages":[102],"enhance":[106],"stability":[108],"practicability":[110],"network.":[116],"In":[117],"addition,":[118],"facial":[120,128],"geometry":[121],"extractor":[122],"is":[123],"proposed":[124,166],"highlight":[126],"discriminative":[127],"so":[131],"that":[132,164],"can":[139],"take":[140],"full":[141],"advantage":[142],"azimuth":[146],"elevation":[148],"information":[149],"in":[150],"distinguishing":[151],"identities.":[153],"experimental":[155],"results":[156],"on":[157],"four":[158],"public":[159],"show":[163],"improves":[172],"accuracy":[174],"recognition,":[179],"which":[180],"verifies":[181],"feasibility":[183],"training":[185]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
