{"id":"https://openalex.org/W4327781334","doi":"https://doi.org/10.1109/sds57574.2022.10062941","title":"Face Detection and Identification based on 2D and 3D Deep Texture Features","display_name":"Face Detection and Identification based on 2D and 3D Deep Texture Features","publication_year":2022,"publication_date":"2022-12-12","ids":{"openalex":"https://openalex.org/W4327781334","doi":"https://doi.org/10.1109/sds57574.2022.10062941"},"language":"en","primary_location":{"id":"doi:10.1109/sds57574.2022.10062941","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/sds57574.2022.10062941","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 Ninth International Conference on Software Defined Systems (SDS)","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/A5014845429","display_name":"Imen Labiadh","orcid":"https://orcid.org/0009-0001-9224-4496"},"institutions":[{"id":"https://openalex.org/I204730241","display_name":"Universit\u00e9 Paris Cit\u00e9","ror":"https://ror.org/05f82e368","country_code":"FR","type":"education","lineage":["https://openalex.org/I204730241"]},{"id":"https://openalex.org/I48825208","display_name":"Universit\u00e9 Paris 8","ror":"https://ror.org/04wez5e68","country_code":"FR","type":"education","lineage":["https://openalex.org/I48825208"]},{"id":"https://openalex.org/I108714496","display_name":"Tunis University","ror":"https://ror.org/02q1spa57","country_code":"TN","type":"education","lineage":["https://openalex.org/I108714496"]}],"countries":["FR","TN"],"is_corresponding":true,"raw_author_name":"Imen Labiadh","raw_affiliation_strings":["LIASD research Lab., University of Paris 8,France","LIASD research Lab., University of Paris 8, France","Department of Electrical Engineering, University of Tunis, RIFTSI Lab., ENSIT, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LIASD research Lab., University of Paris 8,France","institution_ids":["https://openalex.org/I48825208","https://openalex.org/I204730241"]},{"raw_affiliation_string":"LIASD research Lab., University of Paris 8, France","institution_ids":["https://openalex.org/I204730241","https://openalex.org/I48825208"]},{"raw_affiliation_string":"Department of Electrical Engineering, University of Tunis, RIFTSI Lab., ENSIT, Tunisia","institution_ids":["https://openalex.org/I108714496"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065753894","display_name":"Hassene Seddik","orcid":"https://orcid.org/0000-0003-0848-8285"},"institutions":[{"id":"https://openalex.org/I3129295481","display_name":"Tunisia Private University","ror":"https://ror.org/033xhzd30","country_code":"TN","type":"education","lineage":["https://openalex.org/I3129295481"]},{"id":"https://openalex.org/I108714496","display_name":"Tunis University","ror":"https://ror.org/02q1spa57","country_code":"TN","type":"education","lineage":["https://openalex.org/I108714496"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Hassene Seddik","raw_affiliation_strings":["RIFTSI Lab., ENSIT,Department of Electrical Engineering, University of Tunis,Tunisia","Department of Electrical Engineering, University of Tunis, RIFTSI Lab., ENSIT, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"RIFTSI Lab., ENSIT,Department of Electrical Engineering, University of Tunis,Tunisia","institution_ids":["https://openalex.org/I3129295481"]},{"raw_affiliation_string":"Department of Electrical Engineering, University of Tunis, RIFTSI Lab., ENSIT, Tunisia","institution_ids":["https://openalex.org/I108714496"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074810075","display_name":"Larbi Boubchir","orcid":"https://orcid.org/0000-0002-5668-6801"},"institutions":[{"id":"https://openalex.org/I204730241","display_name":"Universit\u00e9 Paris Cit\u00e9","ror":"https://ror.org/05f82e368","country_code":"FR","type":"education","lineage":["https://openalex.org/I204730241"]},{"id":"https://openalex.org/I48825208","display_name":"Universit\u00e9 Paris 8","ror":"https://ror.org/04wez5e68","country_code":"FR","type":"education","lineage":["https://openalex.org/I48825208"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Larbi Boubchir","raw_affiliation_strings":["LIASD research Lab., University of Paris 8,France","LIASD research Lab., University of Paris 8, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LIASD research Lab., University of Paris 8,France","institution_ids":["https://openalex.org/I48825208","https://openalex.org/I204730241"]},{"raw_affiliation_string":"LIASD research Lab., University of Paris 8, France","institution_ids":["https://openalex.org/I204730241","https://openalex.org/I48825208"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5014845429"],"corresponding_institution_ids":["https://openalex.org/I108714496","https://openalex.org/I204730241","https://openalex.org/I48825208"],"apc_list":null,"apc_paid":null,"fwci":0.1016,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.42836033,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"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":0.9990000128746033,"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/T11448","display_name":"Face recognition and analysis","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/T10057","display_name":"Face and Expression Recognition","score":0.9889000058174133,"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":0.9861000180244446,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7944377660751343},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7873222827911377},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.7108457088470459},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6552685499191284},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6153253316879272},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6140860319137573},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5794178247451782},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5664209127426147},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.5447472333908081},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.49434471130371094},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.4825105667114258},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.44744637608528137},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.22861093282699585},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.19119992852210999}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7944377660751343},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7873222827911377},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.7108457088470459},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6552685499191284},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6153253316879272},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6140860319137573},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5794178247451782},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5664209127426147},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.5447472333908081},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.49434471130371094},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.4825105667114258},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.44744637608528137},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.22861093282699585},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.19119992852210999},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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":2,"locations":[{"id":"doi:10.1109/sds57574.2022.10062941","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/sds57574.2022.10062941","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 Ninth International Conference on Software Defined Systems (SDS)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-05355511v1","is_oa":false,"landing_page_url":"https://hal.science/hal-05355511","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2022 Ninth International Conference on Software Defined Systems (SDS), Dec 2022, Paris, France. pp.1-3, ⟨10.1109/SDS57574.2022.10062941⟩","raw_type":"Conference papers"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2058307353","https://openalex.org/W2098900497","https://openalex.org/W2376830441","https://openalex.org/W2546060718","https://openalex.org/W2756577788","https://openalex.org/W2792824267","https://openalex.org/W2798653614","https://openalex.org/W2900389133","https://openalex.org/W2919227859","https://openalex.org/W2939569677","https://openalex.org/W2972200333","https://openalex.org/W3030822238","https://openalex.org/W3031071619","https://openalex.org/W3035253074","https://openalex.org/W3095667372","https://openalex.org/W3182753598","https://openalex.org/W3186082581","https://openalex.org/W4297791447","https://openalex.org/W6761180413"],"related_works":["https://openalex.org/W2076845124","https://openalex.org/W2183964146","https://openalex.org/W2062586268","https://openalex.org/W2044270176","https://openalex.org/W2985118265","https://openalex.org/W2374828682","https://openalex.org/W2153116791","https://openalex.org/W2388733570","https://openalex.org/W1980033651","https://openalex.org/W4230530180"],"abstract_inverted_index":{"The":[0,74],"majority":[1],"of":[2,10,24,54,92],"conventional":[3],"biometric":[4,18],"systems":[5],"have":[6],"emphasized":[7],"the":[8,41,52,69],"use":[9],"manually":[11],"created":[12],"features":[13,34],"for":[14,51,64,68],"facial":[15,103],"identification.":[16],"Multimodal":[17],"systems,":[19],"however,":[20],"incorporate":[21],"a":[22,48],"number":[23],"traits.":[25],"Given":[26],"how":[27],"challenging":[28],"it":[29],"is":[30,46],"to":[31,38,71],"create":[32],"dependable":[33],"that":[35],"can":[36],"adapt":[37],"changes":[39],"in":[40],"input":[42],"images,":[43],"feature":[44],"extraction":[45],"unquestionably":[47],"crucial":[49],"step":[50],"effectiveness":[53],"these":[55],"approaches.":[56],"In":[57],"this":[58],"study,":[59],"we":[60],"introduce":[61],"novel":[62],"methods":[63,76],"identifying":[65],"deep-face":[66],"textures":[67],"purpose":[70],"recognize":[72],"people.":[73],"proposed":[75],"are":[77],"based":[78],"on":[79],"texture":[80,111],"analysis,":[81],"LBP":[82],"algorithm,":[83],"skewness":[84],"coefficients,":[85],"and":[86,95,113],"morphological":[87],"transformations":[88],"using":[89,102],"heatmap":[90],"visualizations":[91],"GradCAM,":[93],"GradCAM++,":[94],"ScoreCam":[96],"models.":[97],"They":[98],"allow":[99],"recognizing":[100],"people":[101],"location":[104],"from":[105],"2D":[106],"or":[107],"3D":[108],"images":[109],"with":[110],"masking":[112],"face":[114],"bartering.":[115]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-05-07T13:39:58.223016","created_date":"2025-10-10T00:00:00"}