{"id":"https://openalex.org/W2153336920","doi":"https://doi.org/10.1109/fuzzy.2009.5277231","title":"Development of the facial feature extraction and emotion recognition method based on ASM and Bayesian network","display_name":"Development of the facial feature extraction and emotion recognition method based on ASM and Bayesian network","publication_year":2009,"publication_date":"2009-08-01","ids":{"openalex":"https://openalex.org/W2153336920","doi":"https://doi.org/10.1109/fuzzy.2009.5277231","mag":"2153336920"},"language":"en","primary_location":{"id":"doi:10.1109/fuzzy.2009.5277231","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2009.5277231","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Fuzzy Systems","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/A5006889887","display_name":"Kwang-Eun Ko","orcid":"https://orcid.org/0000-0001-6225-8080"},"institutions":[{"id":"https://openalex.org/I67900169","display_name":"Chung-Ang University","ror":"https://ror.org/01r024a98","country_code":"KR","type":"education","lineage":["https://openalex.org/I67900169"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Kwang-Eun Ko","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Chung-Ang University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Chung-Ang University, Seoul, South Korea","institution_ids":["https://openalex.org/I67900169"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022121912","display_name":"Kwee-Bo Sim","orcid":"https://orcid.org/0000-0002-7100-1268"},"institutions":[{"id":"https://openalex.org/I67900169","display_name":"Chung-Ang University","ror":"https://ror.org/01r024a98","country_code":"KR","type":"education","lineage":["https://openalex.org/I67900169"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kwee-Bo Sim","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Chung-Ang University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Chung-Ang University, Seoul, South Korea","institution_ids":["https://openalex.org/I67900169"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5006889887"],"corresponding_institution_ids":["https://openalex.org/I67900169"],"apc_list":null,"apc_paid":null,"fwci":0.6471,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.73711211,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"2063","last_page":"2066"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9980000257492065,"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":0.9980000257492065,"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":0.9911999702453613,"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":0.9908000230789185,"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":0.7845526933670044},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7315101623535156},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.642210066318512},{"id":"https://openalex.org/keywords/active-shape-model","display_name":"Active shape model","score":0.5796137452125549},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5751863121986389},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5327995419502258},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.5183547735214233},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.509867787361145},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4831644892692566},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.47933682799339294},{"id":"https://openalex.org/keywords/active-appearance-model","display_name":"Active appearance model","score":0.4413774013519287},{"id":"https://openalex.org/keywords/face-hallucination","display_name":"Face hallucination","score":0.4411507546901703},{"id":"https://openalex.org/keywords/dynamic-bayesian-network","display_name":"Dynamic Bayesian network","score":0.42621129751205444},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.42055824398994446},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.34470751881599426},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.23093855381011963},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.05819740891456604}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7845526933670044},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7315101623535156},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.642210066318512},{"id":"https://openalex.org/C129641003","wikidata":"https://www.wikidata.org/wiki/Q267189","display_name":"Active shape model","level":3,"score":0.5796137452125549},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5751863121986389},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5327995419502258},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.5183547735214233},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.509867787361145},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4831644892692566},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.47933682799339294},{"id":"https://openalex.org/C83248878","wikidata":"https://www.wikidata.org/wiki/Q344000","display_name":"Active appearance model","level":3,"score":0.4413774013519287},{"id":"https://openalex.org/C54654163","wikidata":"https://www.wikidata.org/wiki/Q5428359","display_name":"Face hallucination","level":5,"score":0.4411507546901703},{"id":"https://openalex.org/C82142266","wikidata":"https://www.wikidata.org/wiki/Q3456604","display_name":"Dynamic Bayesian network","level":3,"score":0.42621129751205444},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.42055824398994446},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.34470751881599426},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.23093855381011963},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.05819740891456604},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","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/fuzzy.2009.5277231","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2009.5277231","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Fuzzy Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.5099999904632568,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1950077275","https://openalex.org/W2032618685","https://openalex.org/W2038952578","https://openalex.org/W2137409775","https://openalex.org/W2153810084","https://openalex.org/W2154415369","https://openalex.org/W2159017231","https://openalex.org/W2164368909","https://openalex.org/W2545747984","https://openalex.org/W4233369843","https://openalex.org/W4244355524"],"related_works":["https://openalex.org/W2030040825","https://openalex.org/W2161554919","https://openalex.org/W2101536388","https://openalex.org/W2949493976","https://openalex.org/W2072360209","https://openalex.org/W4248584426","https://openalex.org/W2129515371","https://openalex.org/W2362004654","https://openalex.org/W2182986921","https://openalex.org/W1499892990"],"abstract_inverted_index":{"In":[0],"the":[1,19,23,32,42,51,56,59,63,84,88,100,103,108,112,115,121,125,128,133,136,140,146,158],"facial":[2,24,33,47,71,117,147,159],"image,":[3,25],"emotions":[4],"are":[5],"most":[6,43],"widely":[7],"represented":[8],"with":[9,145],"eye":[10],"and":[11,78,95,106,127,153],"mouth":[12],"expressions.":[13],"If":[14],"we":[15,26,68,82],"want":[16],"to":[17,28,98,156],"recognize":[18,157],"human's":[20],"emotion":[21,72,160],"via":[22],"need":[27],"extract":[29],"features":[30],"of":[31,41,58,62,87,102,111,135],"image.":[34],"Active":[35],"Shape":[36],"Model":[37],"(ASM)":[38],"is":[39,143],"one":[40],"popular":[44],"methods":[45],"for":[46],"feature":[48,148],"extraction.":[49],"Regarding":[50],"traditional":[52],"ASM":[53,77,113],"depends":[54],"on":[55,76],"setting":[57],"initial":[60,109],"parameters":[61,86,110,134],"model,":[64],"in":[65],"this":[66],"paper":[67],"propose":[69],"a":[70],"recognizing":[73],"method":[74],"based":[75],"Bayesian":[79,163],"Network.":[80,164],"Firstly,":[81],"obtain":[83],"reconstructive":[85],"new":[89,104],"gray-scale":[90],"image":[91,105],"by":[92,114,131,161],"sample-based":[93],"learning":[94],"use":[96,154],"them":[97,155],"reconstruct":[99],"shape":[101],"calculate":[107],"reconstructed":[116],"shape.":[118],"Then":[119],"reduce":[120],"distance":[122],"error":[123],"between":[124],"model":[126,141],"target":[129],"contour":[130],"adjusting":[132],"model.":[137],"Finally":[138],"get":[139],"which":[142],"matched":[144],"outline":[149],"after":[150],"several":[151],"iterations":[152],"using":[162]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}