{"id":"https://openalex.org/W2116324244","doi":"https://doi.org/10.1109/icme.2010.5583363","title":"Rotation invariant Facial Expression Recognition in image sequences","display_name":"Rotation invariant Facial Expression Recognition in image sequences","publication_year":2010,"publication_date":"2010-07-01","ids":{"openalex":"https://openalex.org/W2116324244","doi":"https://doi.org/10.1109/icme.2010.5583363","mag":"2116324244"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2010.5583363","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2010.5583363","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Multimedia and Expo","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/A5063212117","display_name":"Ruchir Srivastava","orcid":"https://orcid.org/0000-0002-0441-8389"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Ruchir Srivastava","raw_affiliation_strings":["Department of Electrical and Computer Engineering, National University of Singapore, Singapore","Department of Electrical & Computer Engineering, National University of Singapore, Singapore 117576"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]},{"raw_affiliation_string":"Department of Electrical & Computer Engineering, National University of Singapore, Singapore 117576","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100510934","display_name":"Sujoy Roy","orcid":null},"institutions":[{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Sujoy Roy","raw_affiliation_strings":["Institute for Infocomm Research, Singapore","Institute for Infocomm Research 1 Fusionopolis Way, #21\u201001 Connexis, Singapore 138632"],"affiliations":[{"raw_affiliation_string":"Institute for Infocomm Research, Singapore","institution_ids":["https://openalex.org/I3005327000"]},{"raw_affiliation_string":"Institute for Infocomm Research 1 Fusionopolis Way, #21\u201001 Connexis, Singapore 138632","institution_ids":["https://openalex.org/I3005327000"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065478753","display_name":"Terence Sim","orcid":"https://orcid.org/0000-0002-0198-094X"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Terence Sim","raw_affiliation_strings":["School of Computing, National University of Singapore, Singapore","School of Computing, Computing 1, 13 Computing Drive, National University of Singapore, Singapore 117417"],"affiliations":[{"raw_affiliation_string":"School of Computing, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]},{"raw_affiliation_string":"School of Computing, Computing 1, 13 Computing Drive, National University of Singapore, Singapore 117417","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5063212117"],"corresponding_institution_ids":["https://openalex.org/I165932596"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18317936,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"179","last_page":"184"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9994000196456909,"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/T10057","display_name":"Face and Expression Recognition","score":0.9994000196456909,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.994700014591217,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9922000169754028,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.8302671313285828},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7201870679855347},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.623444676399231},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.5853729248046875},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5613155364990234},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.5595253109931946},{"id":"https://openalex.org/keywords/rotation","display_name":"Rotation (mathematics)","score":0.5593838095664978},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4572126865386963},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4523322582244873},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.44943535327911377},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.44592443108558655},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.4242344796657562},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4186446964740753},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09912791848182678}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8302671313285828},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7201870679855347},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.623444676399231},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.5853729248046875},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5613155364990234},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.5595253109931946},{"id":"https://openalex.org/C74050887","wikidata":"https://www.wikidata.org/wiki/Q848368","display_name":"Rotation (mathematics)","level":2,"score":0.5593838095664978},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4572126865386963},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4523322582244873},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44943535327911377},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.44592443108558655},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.4242344796657562},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4186446964740753},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09912791848182678},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icme.2010.5583363","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2010.5583363","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Multimedia and Expo","raw_type":"proceedings-article"},{"id":"pmh:oai:scholarbank.nus.edu.sg:10635/40172","is_oa":false,"landing_page_url":"http://scholarbank.nus.edu.sg/handle/10635/40172","pdf_url":null,"source":{"id":"https://openalex.org/S7407052290","display_name":"National University of Singapore","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Scopus","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1516899372","https://openalex.org/W2021127571","https://openalex.org/W2106180965","https://openalex.org/W2107488200","https://openalex.org/W2108385997","https://openalex.org/W2119601766","https://openalex.org/W2125127226","https://openalex.org/W2140797123","https://openalex.org/W2154376992","https://openalex.org/W2168893862","https://openalex.org/W2533972229","https://openalex.org/W4248235699","https://openalex.org/W6677880028","https://openalex.org/W6680826164","https://openalex.org/W6682857711"],"related_works":["https://openalex.org/W3176621072","https://openalex.org/W2995475466","https://openalex.org/W4210430843","https://openalex.org/W2356785732","https://openalex.org/W4380789568","https://openalex.org/W4239033281","https://openalex.org/W3105745662","https://openalex.org/W4379523021","https://openalex.org/W2146824712","https://openalex.org/W2985118265"],"abstract_inverted_index":{"Facial":[0,79],"Expression":[1],"Recognition":[2],"has":[3],"mostly":[4],"been":[5],"done":[6],"on":[7],"frontal":[8,11,52,59],"or":[9],"near":[10],"faces.":[12],"However,":[13],"most":[14],"of":[15,29,64,76,78,101,106,115,133],"the":[16,36,49,99],"faces":[17,30],"in":[18,31,71,131],"real":[19],"life":[20],"are":[21,96,110],"non-frontal.":[22],"This":[23],"paper":[24],"deals":[25],"with":[26],"in-plane":[27],"rotation":[28,65],"image":[32,50],"sequences":[33,117],"and":[34,67],"considers":[35],"six":[37,91],"universal":[38],"facial":[39,73],"expressions.":[40],"The":[41],"proposed":[42],"approach":[43],"does":[44],"not":[45],"need":[46],"to":[47,51,58,62,98,126,129],"rotate":[48],"position.":[53],"FER":[54],"by":[55],"rotating":[56],"images":[57],"is":[60,83,123,140],"sensitive":[61],"determination":[63],"angle":[66],"can":[68],"involve":[69],"errors":[70,130],"tracking":[72],"points.":[74],"Directions":[75],"motion":[77],"Feature":[80],"Points":[81],"(FFPs)":[82],"used":[84,111],"for":[85,90,112],"feature":[86,138],"extraction.":[87],"In":[88],"training":[89],"expressions,":[92],"Gaussian":[93,120],"Mixture":[94,121],"Models":[95],"fit":[97],"distribution":[100],"angles":[102],"representing":[103],"these":[104],"directions":[105],"motion.":[107],"These":[108],"models":[109],"further":[113],"classification":[114],"test":[116],"using":[118,142],"SVM.":[119],"Modeling":[122],"experimentally":[124],"found":[125],"be":[127],"robust":[128],"position":[132],"FFPs.":[134],"For":[135],"dimensionality":[136],"reduction,":[137],"selection":[139],"performed":[141],"Fisher":[143],"ratio":[144],"test.":[145]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}