{"id":"https://openalex.org/W2989176877","doi":"https://doi.org/10.1109/ssd.2019.8893278","title":"Data Augmentation using non-rigid CPD Registration for 3D Facial Expression Recognition","display_name":"Data Augmentation using non-rigid CPD Registration for 3D Facial Expression Recognition","publication_year":2019,"publication_date":"2019-03-01","ids":{"openalex":"https://openalex.org/W2989176877","doi":"https://doi.org/10.1109/ssd.2019.8893278","mag":"2989176877"},"language":"en","primary_location":{"id":"doi:10.1109/ssd.2019.8893278","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssd.2019.8893278","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 16th International Multi-Conference on Systems, Signals & Devices (SSD)","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/A5085987822","display_name":"Imen Hamrouni Trimech","orcid":null},"institutions":[{"id":"https://openalex.org/I8636806","display_name":"University of Sousse","ror":"https://ror.org/00dmpgj58","country_code":"TN","type":"education","lineage":["https://openalex.org/I8636806"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Imen Hamrouni Trimech","raw_affiliation_strings":["Universit\u00e9 de Sousse, Ecole Nationale d'Ing\u00e9nieurs de Sousse, LATIS-Laboratory of Advanced Technology and Intelligent Systems, Sousse, Tunisie"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit\u00e9 de Sousse, Ecole Nationale d'Ing\u00e9nieurs de Sousse, LATIS-Laboratory of Advanced Technology and Intelligent Systems, Sousse, Tunisie","institution_ids":["https://openalex.org/I8636806"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058771118","display_name":"Ahmed Maalej","orcid":null},"institutions":[{"id":"https://openalex.org/I55167344","display_name":"University of Kairouan","ror":"https://ror.org/024mpte60","country_code":"TN","type":"education","lineage":["https://openalex.org/I55167344"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Ahmed Maalej","raw_affiliation_strings":["Universit\u00e9 de Kairouan, Institut Sup\u00e9rieur de Math\u00e9matiques Appliqu\u00e9es et d'informatique de Kairouan, Kairouan, Tunisie"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit\u00e9 de Kairouan, Institut Sup\u00e9rieur de Math\u00e9matiques Appliqu\u00e9es et d'informatique de Kairouan, Kairouan, Tunisie","institution_ids":["https://openalex.org/I55167344"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050773373","display_name":"Najoua Essoukri Ben Amara","orcid":"https://orcid.org/0000-0001-7914-0644"},"institutions":[{"id":"https://openalex.org/I8636806","display_name":"University of Sousse","ror":"https://ror.org/00dmpgj58","country_code":"TN","type":"education","lineage":["https://openalex.org/I8636806"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Najoua Essoukri Ben Amara","raw_affiliation_strings":["Universit\u00e9 de Sousse, Ecole Nationale d'Ing\u00e9nieurs de Sousse, LATIS-Laboratory of Advanced Technology and Intelligent Systems, Sousse, Tunisie"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit\u00e9 de Sousse, Ecole Nationale d'Ing\u00e9nieurs de Sousse, LATIS-Laboratory of Advanced Technology and Intelligent Systems, Sousse, Tunisie","institution_ids":["https://openalex.org/I8636806"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7118,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.75801093,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"164","last_page":"169"},"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9965999722480774,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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":0.781879723072052},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.6704139709472656},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6291219592094421},{"id":"https://openalex.org/keywords/sadness","display_name":"Sadness","score":0.5601522922515869},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.5287591814994812},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.514837920665741},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4670027494430542},{"id":"https://openalex.org/keywords/disgust","display_name":"Disgust","score":0.46469518542289734},{"id":"https://openalex.org/keywords/surprise","display_name":"Surprise","score":0.45456814765930176},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44570082426071167},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.43116313219070435},{"id":"https://openalex.org/keywords/solid-modeling","display_name":"Solid modeling","score":0.4263794422149658},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4260200560092926},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3730854392051697},{"id":"https://openalex.org/keywords/anger","display_name":"Anger","score":0.18181923031806946}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.781879723072052},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.6704139709472656},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6291219592094421},{"id":"https://openalex.org/C2779812673","wikidata":"https://www.wikidata.org/wiki/Q169251","display_name":"Sadness","level":3,"score":0.5601522922515869},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.5287591814994812},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.514837920665741},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4670027494430542},{"id":"https://openalex.org/C2777375102","wikidata":"https://www.wikidata.org/wiki/Q208351","display_name":"Disgust","level":3,"score":0.46469518542289734},{"id":"https://openalex.org/C2780343955","wikidata":"https://www.wikidata.org/wiki/Q333173","display_name":"Surprise","level":2,"score":0.45456814765930176},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44570082426071167},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.43116313219070435},{"id":"https://openalex.org/C108882727","wikidata":"https://www.wikidata.org/wiki/Q2991685","display_name":"Solid modeling","level":2,"score":0.4263794422149658},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4260200560092926},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3730854392051697},{"id":"https://openalex.org/C2779302386","wikidata":"https://www.wikidata.org/wiki/Q79871","display_name":"Anger","level":2,"score":0.18181923031806946},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","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/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/ssd.2019.8893278","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssd.2019.8893278","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 16th International Multi-Conference on Systems, Signals & Devices (SSD)","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":30,"referenced_works":["https://openalex.org/W1604550738","https://openalex.org/W2097776253","https://openalex.org/W2134236847","https://openalex.org/W2137306662","https://openalex.org/W2339110415","https://openalex.org/W2560609797","https://openalex.org/W2599439078","https://openalex.org/W2621864722","https://openalex.org/W2623430836","https://openalex.org/W2738042021","https://openalex.org/W2749647457","https://openalex.org/W2772381464","https://openalex.org/W2773893004","https://openalex.org/W2786211196","https://openalex.org/W2787384873","https://openalex.org/W2792348769","https://openalex.org/W2792727293","https://openalex.org/W2803803768","https://openalex.org/W2809598685","https://openalex.org/W2890117792","https://openalex.org/W2894286344","https://openalex.org/W2896271387","https://openalex.org/W2896712500","https://openalex.org/W2930789748","https://openalex.org/W2963440544","https://openalex.org/W2963895345","https://openalex.org/W6680591342","https://openalex.org/W6738764233","https://openalex.org/W6741612533","https://openalex.org/W6746549397"],"related_works":["https://openalex.org/W4238520549","https://openalex.org/W3216173459","https://openalex.org/W2794357331","https://openalex.org/W4242611441","https://openalex.org/W4242034606","https://openalex.org/W4402346481","https://openalex.org/W2037174948","https://openalex.org/W2519456985","https://openalex.org/W1761974557","https://openalex.org/W1991697485"],"abstract_inverted_index":{"3D":[0,33,56,102,130,152,170],"Facial":[1],"Expression":[2],"Recognition":[3],"(FER)":[4],"is":[5,194],"an":[6],"active":[7],"research":[8],"topic":[9],"due":[10],"to":[11,31,53,122,148,172,185],"its":[12],"multi-fields":[13],"human":[14],"machine":[15],"applications.":[16],"We":[17,73,88],"expose":[18],"in":[19,29,44,146],"this":[20],"paper":[21],"a":[22,77,119,182],"new":[23],"approach":[24],"for":[25],"Data":[26],"Augmentation":[27],"(DA)":[28],"order":[30,147],"improve":[32],"FER":[34],"using":[35,45],"Deep":[36],"Neural":[37],"Networks":[38],"(DNN).":[39],"Our":[40],"main":[41],"contribution":[42],"consists":[43],"the":[46,63,91,109,116,123,129,134,140,156,159,162,168,174,205],"Coherent":[47],"Point":[48],"Drift":[49],"(CPD)":[50],"non-rigid":[51,93],"registration":[52,94,163],"generate":[54,149],"additional":[55],"facial":[57,103],"data":[58],"conveying":[59,105],"various":[60,106,151],"expressions":[61,107,153,171],"mainly":[62],"prototypical":[64],"expressions:":[65],"Happiness,":[66],"Sadness,":[67],"Fear,":[68],"Surprise,":[69],"Disgust,":[70],"and":[71,100,139,158,196],"Anger.":[72],"start":[74],"by":[75,83,118,154],"choosing":[76],"set":[78],"of":[79,176],"different":[80],"references":[81],"defined":[82],"arbitrarily":[84],"selected":[85,97],"neutral":[86,98,137],"faces.":[87],"apply":[89],"then":[90],"CPD":[92],"between":[95,133],"each":[96,101],"face":[99,143],"model":[104],"from":[108],"whole":[110,206],"BU-3DFE":[111,207],"database.":[112],"Thus,":[113],"we":[114,127,166,180],"augment":[115],"dataset":[117],"factor":[120],"equal":[121],"used":[124,192],"references.":[125],"Afterwards,":[126,165],"estimate":[128],"elastic":[131],"deformation":[132],"reference":[135,157],"(3D":[136,142],"face)":[138],"target":[141,160],"with":[144],"expression)":[145],"consequently":[150],"switching":[155],"within":[161],"process.":[164],"gather":[167],"produced":[169],"increase":[173],"size":[175],"our":[177,187,198],"dataset.":[178],"Finally,":[179],"exploit":[181],"DNN":[183,199],"architecture":[184],"evaluate":[186],"proposed":[188],"DA":[189,193],"method.":[190],"The":[191],"effective":[195],"increases":[197],"performance.":[200],"Experimental":[201],"results":[202,211],"operated":[203],"on":[204],"database":[208],"shows":[209],"promising":[210],"reaching":[212],"94.88%.":[213]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}