{"id":"https://openalex.org/W3015476328","doi":"https://doi.org/10.1109/icassp40776.2020.9053919","title":"Facial Emotion Recognition Using Light Field Images with Deep Attention-Based Bidirectional LSTM","display_name":"Facial Emotion Recognition Using Light Field Images with Deep Attention-Based Bidirectional LSTM","publication_year":2020,"publication_date":"2020-04-09","ids":{"openalex":"https://openalex.org/W3015476328","doi":"https://doi.org/10.1109/icassp40776.2020.9053919","mag":"3015476328"},"language":"en","primary_location":{"id":"doi:10.1109/icassp40776.2020.9053919","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9053919","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5088311682","display_name":"Alireza Sepas\u2010Moghaddam","orcid":"https://orcid.org/0000-0002-4881-5386"},"institutions":[{"id":"https://openalex.org/I204722609","display_name":"Queen's University","ror":"https://ror.org/02y72wh86","country_code":"CA","type":"education","lineage":["https://openalex.org/I204722609"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Alireza Sepas-Moghaddam","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Queen\u2019s University, Kingston, Ontario, Canada","Department of Electrical and Computer Engineering, Queen's University, Kingston, Ontario, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Queen\u2019s University, Kingston, Ontario, Canada","institution_ids":["https://openalex.org/I204722609"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Queen's University, Kingston, Ontario, Canada","institution_ids":["https://openalex.org/I204722609"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039812985","display_name":"Ali Etemad","orcid":"https://orcid.org/0000-0001-7128-0220"},"institutions":[{"id":"https://openalex.org/I204722609","display_name":"Queen's University","ror":"https://ror.org/02y72wh86","country_code":"CA","type":"education","lineage":["https://openalex.org/I204722609"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ali Etemad","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Queen\u2019s University, Kingston, Ontario, Canada","Department of Electrical and Computer Engineering, Queen's University, Kingston, Ontario, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Queen\u2019s University, Kingston, Ontario, Canada","institution_ids":["https://openalex.org/I204722609"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Queen's University, Kingston, Ontario, Canada","institution_ids":["https://openalex.org/I204722609"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044708805","display_name":"Fernando Pereira","orcid":"https://orcid.org/0000-0001-6100-947X"},"institutions":[{"id":"https://openalex.org/I141596103","display_name":"University of Lisbon","ror":"https://ror.org/01c27hj86","country_code":"PT","type":"education","lineage":["https://openalex.org/I141596103"]},{"id":"https://openalex.org/I4210120471","display_name":"Instituto de Telecomunica\u00e7\u00f5es","ror":"https://ror.org/02ht4fk33","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I4210120471"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Fernando Pereira","raw_affiliation_strings":["Instituto de Telecomunica\u00e7\u00f5es, Instituto Superior Tecnico, Universidade de Lisboa, Lisbon, Portugal"],"affiliations":[{"raw_affiliation_string":"Instituto de Telecomunica\u00e7\u00f5es, Instituto Superior Tecnico, Universidade de Lisboa, Lisbon, Portugal","institution_ids":["https://openalex.org/I4210120471","https://openalex.org/I141596103"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019322980","display_name":"Paulo Lobato Correia","orcid":"https://orcid.org/0000-0001-6525-9572"},"institutions":[{"id":"https://openalex.org/I141596103","display_name":"University of Lisbon","ror":"https://ror.org/01c27hj86","country_code":"PT","type":"education","lineage":["https://openalex.org/I141596103"]},{"id":"https://openalex.org/I4210120471","display_name":"Instituto de Telecomunica\u00e7\u00f5es","ror":"https://ror.org/02ht4fk33","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I4210120471"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Paulo Lobato Correia","raw_affiliation_strings":["Instituto de Telecomunica\u00e7\u00f5es, Instituto Superior Tecnico, Universidade de Lisboa, Lisbon, Portugal"],"affiliations":[{"raw_affiliation_string":"Instituto de Telecomunica\u00e7\u00f5es, Instituto Superior Tecnico, Universidade de Lisboa, Lisbon, Portugal","institution_ids":["https://openalex.org/I4210120471","https://openalex.org/I141596103"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5088311682"],"corresponding_institution_ids":["https://openalex.org/I204722609"],"apc_list":null,"apc_paid":null,"fwci":4.201,"has_fulltext":false,"cited_by_count":53,"citation_normalized_percentile":{"value":0.95298111,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"3367","last_page":"3371"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","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/T10331","display_name":"Video Surveillance and Tracking Methods","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/T11019","display_name":"Image Enhancement Techniques","score":0.9901000261306763,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9886999726295471,"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/computer-science","display_name":"Computer science","score":0.776993989944458},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7500638961791992},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6793051958084106},{"id":"https://openalex.org/keywords/light-field","display_name":"Light field","score":0.6246435046195984},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5659030675888062},{"id":"https://openalex.org/keywords/viewpoints","display_name":"Viewpoints","score":0.5435895323753357},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.521971583366394},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5207431316375732},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5204891562461853},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.5129665732383728},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4966033101081848},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4939897656440735},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4652816653251648},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.46411827206611633}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.776993989944458},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7500638961791992},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6793051958084106},{"id":"https://openalex.org/C48983235","wikidata":"https://www.wikidata.org/wiki/Q593161","display_name":"Light field","level":2,"score":0.6246435046195984},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5659030675888062},{"id":"https://openalex.org/C2776035091","wikidata":"https://www.wikidata.org/wiki/Q7928819","display_name":"Viewpoints","level":2,"score":0.5435895323753357},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.521971583366394},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5207431316375732},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5204891562461853},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.5129665732383728},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4966033101081848},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4939897656440735},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4652816653251648},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.46411827206611633},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp40776.2020.9053919","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9053919","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":43,"referenced_works":["https://openalex.org/W1566256432","https://openalex.org/W1686810756","https://openalex.org/W1965947362","https://openalex.org/W1983364832","https://openalex.org/W2049862374","https://openalex.org/W2063366997","https://openalex.org/W2064675550","https://openalex.org/W2079735306","https://openalex.org/W2118463056","https://openalex.org/W2141200867","https://openalex.org/W2157331557","https://openalex.org/W2251198138","https://openalex.org/W2277498883","https://openalex.org/W2292885564","https://openalex.org/W2325939864","https://openalex.org/W2441198140","https://openalex.org/W2487852963","https://openalex.org/W2548264631","https://openalex.org/W2613569861","https://openalex.org/W2617750261","https://openalex.org/W2756315940","https://openalex.org/W2792324968","https://openalex.org/W2792396704","https://openalex.org/W2796830519","https://openalex.org/W2799075631","https://openalex.org/W2885653416","https://openalex.org/W2894805842","https://openalex.org/W2895006884","https://openalex.org/W2901650317","https://openalex.org/W2912628469","https://openalex.org/W2952387868","https://openalex.org/W2962958286","https://openalex.org/W2963252191","https://openalex.org/W2963602021","https://openalex.org/W2964290400","https://openalex.org/W2996033780","https://openalex.org/W4298857891","https://openalex.org/W4403242122","https://openalex.org/W6637373629","https://openalex.org/W6700903540","https://openalex.org/W6750235172","https://openalex.org/W6750843368","https://openalex.org/W6758896570"],"related_works":["https://openalex.org/W2385368906","https://openalex.org/W2902924992","https://openalex.org/W2626642044","https://openalex.org/W93537448","https://openalex.org/W2619807045","https://openalex.org/W2388758053","https://openalex.org/W2949734191","https://openalex.org/W2017333877","https://openalex.org/W2048332520","https://openalex.org/W2985118265"],"abstract_inverted_index":{"Light":[0,131],"field":[1,34],"cameras":[2],"are":[3],"able":[4],"to":[5,72,94,116],"capture":[6],"the":[7,18,27,98,118,129,141,147],"intensity":[8],"of":[9,143],"light":[10,33],"rays":[11],"coming":[12],"from":[13,21,76],"multiple":[14,22],"directions,":[15],"thus":[16,103],"representing":[17],"visual":[19],"scene":[20],"viewpoints.":[23],"This":[24],"paper":[25],"exploits":[26],"rich":[28],"spatio-angular":[29,74,101],"information":[30],"available":[31],"in":[32],"images":[35],"for":[36],"facial":[37],"emotion":[38,119],"recognition.":[39],"In":[40],"this":[41],"context,":[42],"a":[43,55,61,105,111],"new":[44],"deep":[45],"network":[46,69],"is":[47,70,114],"proposed":[48],"that":[49],"first":[50],"extracts":[51],"spatial":[52],"features":[53,75],"using":[54,135],"VGG16":[56],"convolutional":[57],"neural":[58,68],"network.":[59],"Then,":[60],"Bidirectional":[62],"Long":[63],"Short-Term":[64],"Memory":[65],"(Bi-LSTM)":[66],"recurrent":[67],"used":[71],"learn":[73],"viewpoint":[77],"feature":[78],"sequences,":[79],"exploring":[80],"both":[81],"forward":[82],"and":[83],"backward":[84],"angular":[85],"relationships.":[86],"Additionally,":[87],"an":[88],"attention":[89],"mechanism":[90],"allows":[91],"our":[92,144],"model":[93],"selectively":[95],"focus":[96],"on":[97,128],"most":[99],"important":[100],"features,":[102],"enabling":[104],"more":[106],"effective":[107],"learning":[108],"outcome.":[109],"Finally,":[110],"fusion":[112],"scheme":[113],"adopted":[115],"obtain":[117],"recognition":[120],"classification":[121],"results.":[122],"Comprehensive":[123],"experiments":[124],"have":[125],"been":[126],"conducted":[127],"IST-EURECOM":[130],"Field":[132],"Face":[133],"database":[134],"two":[136],"challenging":[137],"evaluation":[138],"protocols,":[139],"showing":[140],"superiority":[142],"method":[145],"over":[146],"state-of-the-art.":[148]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":14},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}