{"id":"https://openalex.org/W2902559044","doi":"https://doi.org/10.23919/eusipco.2018.8553087","title":"Face Frontalization for Cross-Pose Facial Expression Recognition","display_name":"Face Frontalization for Cross-Pose Facial Expression Recognition","publication_year":2018,"publication_date":"2018-09-01","ids":{"openalex":"https://openalex.org/W2902559044","doi":"https://doi.org/10.23919/eusipco.2018.8553087","mag":"2902559044"},"language":"en","primary_location":{"id":"doi:10.23919/eusipco.2018.8553087","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2018.8553087","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 26th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://infoscience.epfl.ch/record/263583","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007051253","display_name":"Engin Deniz","orcid":"https://orcid.org/0000-0002-2999-0429"},"institutions":[{"id":"https://openalex.org/I48912391","display_name":"Istanbul Technical University","ror":"https://ror.org/059636586","country_code":"TR","type":"education","lineage":["https://openalex.org/I48912391"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Deniz Engin","raw_affiliation_strings":["Istanbul Technical, University (ITU), Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Istanbul Technical, University (ITU), Turkey","institution_ids":["https://openalex.org/I48912391"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056583825","display_name":"Christophe Ecabert","orcid":null},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Christophe Ecabert","raw_affiliation_strings":["\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), Switzerland","institution_ids":["https://openalex.org/I5124864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009982931","display_name":"Haz\u0131m Kemal Ekenel","orcid":"https://orcid.org/0000-0003-3697-8548"},"institutions":[{"id":"https://openalex.org/I48912391","display_name":"Istanbul Technical University","ror":"https://ror.org/059636586","country_code":"TR","type":"education","lineage":["https://openalex.org/I48912391"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Hazim Kemal Ekenel","raw_affiliation_strings":["Istanbul Technical, University (ITU), Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Istanbul Technical, University (ITU), Turkey","institution_ids":["https://openalex.org/I48912391"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067782007","display_name":"Jean\u2010Philippe Thiran","orcid":"https://orcid.org/0000-0003-2938-9657"},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Jean-Philippe Thiran","raw_affiliation_strings":["\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), Switzerland","institution_ids":["https://openalex.org/I5124864"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1795","last_page":"1799"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9994999766349792,"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":0.9972000122070312,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7827211618423462},{"id":"https://openalex.org/keywords/local-binary-patterns","display_name":"Local binary patterns","score":0.7819038033485413},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7505356073379517},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.7330957651138306},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7310390472412109},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7245033979415894},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.6294554471969604},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6241814494132996},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.5918195247650146},{"id":"https://openalex.org/keywords/three-dimensional-face-recognition","display_name":"Three-dimensional face recognition","score":0.587101399898529},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5532090067863464},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.4624953269958496},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.42831045389175415},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.42186903953552246},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3430405557155609},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.3179488778114319},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.19637054204940796}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7827211618423462},{"id":"https://openalex.org/C87335442","wikidata":"https://www.wikidata.org/wiki/Q2494345","display_name":"Local binary patterns","level":4,"score":0.7819038033485413},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7505356073379517},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.7330957651138306},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7310390472412109},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7245033979415894},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.6294554471969604},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6241814494132996},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.5918195247650146},{"id":"https://openalex.org/C88799230","wikidata":"https://www.wikidata.org/wiki/Q3398329","display_name":"Three-dimensional face recognition","level":5,"score":0.587101399898529},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5532090067863464},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.4624953269958496},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.42831045389175415},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.42186903953552246},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3430405557155609},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.3179488778114319},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.19637054204940796},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","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},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.23919/eusipco.2018.8553087","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2018.8553087","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 26th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},{"id":"pmh:oai:infoscience.epfl.ch:263583","is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/263583","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"WoS","raw_type":"conference proceedings"},{"id":"pmh:oai:polen.itu.edu.tr:11527/53997","is_oa":false,"landing_page_url":"https://hdl.handle.net/11527/53997","pdf_url":null,"source":{"id":"https://openalex.org/S4306400460","display_name":"Istanbul Technical University Academic Open Archive (Istanbul Technical University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I48912391","host_organization_name":"Istanbul Technical University","host_organization_lineage":["https://openalex.org/I48912391"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"}],"best_oa_location":{"id":"pmh:oai:infoscience.epfl.ch:263583","is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/263583","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"WoS","raw_type":"conference proceedings"},"sustainable_development_goals":[{"score":0.5299999713897705,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1498150497","https://openalex.org/W1503702009","https://openalex.org/W1545641654","https://openalex.org/W1578309724","https://openalex.org/W1595098738","https://openalex.org/W1595891186","https://openalex.org/W1686810756","https://openalex.org/W1916406603","https://openalex.org/W1983474530","https://openalex.org/W2017107803","https://openalex.org/W2041616772","https://openalex.org/W2082045173","https://openalex.org/W2097117768","https://openalex.org/W2101809281","https://openalex.org/W2111461298","https://openalex.org/W2135666716","https://openalex.org/W2137306662","https://openalex.org/W2145287260","https://openalex.org/W2153635508","https://openalex.org/W2162458225","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2217448953","https://openalex.org/W2237250383","https://openalex.org/W2293984055","https://openalex.org/W2295070965","https://openalex.org/W2325939864","https://openalex.org/W2471370490","https://openalex.org/W2537518154","https://openalex.org/W2559289659","https://openalex.org/W2744909235","https://openalex.org/W4248310991","https://openalex.org/W6661087397","https://openalex.org/W6680591342","https://openalex.org/W6684191040","https://openalex.org/W6700903540","https://openalex.org/W6720722332"],"related_works":["https://openalex.org/W2041800626","https://openalex.org/W2509301949","https://openalex.org/W2943493782","https://openalex.org/W325114128","https://openalex.org/W4206923589","https://openalex.org/W4313044563","https://openalex.org/W1986803802","https://openalex.org/W2002684787","https://openalex.org/W3104910122","https://openalex.org/W2892944782"],"abstract_inverted_index":{"In":[0],"this":[1,122],"paper,":[2],"we":[3,36,81],"have":[4,17,37,82],"explored":[5],"the":[6,71,90,100,133],"effect":[7],"of":[8,73],"pose":[9,97,131,150,165],"normalization":[10,98],"for":[11,30,102],"cross-pose":[12,103],"facial":[13,31,77,104,123],"expression":[14,21,32,78,86,105,124],"recognition.":[15,106],"We":[16],"first":[18],"presented":[19],"an":[20],"preserving":[22],"face":[23,27,74,161,175],"frontalization":[24,28,75],"method.":[25],"After":[26],"step,":[29],"representation":[33,125],"and":[34,58,126],"classification,":[35],"employed":[38],"both":[39],"a":[40,59,157],"traditional":[41],"approach,":[42],"by":[43,172],"using":[44,89],"hand-crafted":[45],"features,":[46],"namely":[47],"local":[48,109],"binary":[49,110],"patterns,":[50],"in":[51,112],"combination":[52,113],"with":[53,114,163],"support":[54,115],"vector":[55,116],"machine":[56,117],"classification":[57,127],"relatively":[60],"more":[61,147],"recent":[62],"approach":[63,142],"based":[64],"on":[65,76,156],"convolutional":[66],"neural":[67,140],"networks.":[68],"To":[69],"evaluate":[70],"impact":[72],"recognition":[79,87],"performance,":[80],"conducted":[83],"cross-pose,":[84],"subject-independent":[85],"experiments":[88],"BU3DFE":[91],"database.":[92],"Experimental":[93],"results":[94],"show":[95],"that":[96,159],"improves":[99],"performance":[101,135,168],"Especially,":[107],"when":[108,152],"patterns":[111],"classifier":[118],"is":[119,137,143,154,169],"used,":[120],"since":[121],"does":[128],"not":[129],"handle":[130],"variations,":[132,151],"obtained":[134],"increase":[136],"significant.":[138],"Convolutional":[139],"networks-based":[141],"found":[144],"to":[145],"be":[146],"successful":[148],"handling":[149],"it":[153],"fine-tuned":[155],"dataset":[158],"contains":[160],"images":[162],"varying":[164],"angles.":[166],"Its":[167],"further":[170],"enhanced":[171],"benefiting":[173],"from":[174],"frontalization.":[176]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
