{"id":"https://openalex.org/W2150337591","doi":"https://doi.org/10.1109/emeit.2011.6023971","title":"A robust system of face detection and precise face organ location","display_name":"A robust system of face detection and precise face organ location","publication_year":2011,"publication_date":"2011-08-01","ids":{"openalex":"https://openalex.org/W2150337591","doi":"https://doi.org/10.1109/emeit.2011.6023971","mag":"2150337591"},"language":"en","primary_location":{"id":"doi:10.1109/emeit.2011.6023971","is_oa":false,"landing_page_url":"https://doi.org/10.1109/emeit.2011.6023971","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of 2011 International Conference on Electronic & Mechanical Engineering and Information Technology","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/A5078336176","display_name":"Moshu Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Moshu Wu","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua Univ., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua Univ., Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103371608","display_name":"Guangda Su","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangda Su","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua Univ., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua Univ., Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100658639","display_name":"Jun Zhou","orcid":"https://orcid.org/0000-0003-2449-6656"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Zhou","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua Univ., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua Univ., Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5078336176"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1810866,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4188","last_page":"4191"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9991000294685364,"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":0.9991000294685364,"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/T11448","display_name":"Face recognition and analysis","score":0.9984999895095825,"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/T10828","display_name":"Biometric Identification and Security","score":0.9866999983787537,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.815436601638794},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7785256505012512},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.7459378838539124},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7088310122489929},{"id":"https://openalex.org/keywords/object-class-detection","display_name":"Object-class detection","score":0.6794894933700562},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6587622761726379},{"id":"https://openalex.org/keywords/adaboost","display_name":"AdaBoost","score":0.6448200941085815},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.5990710854530334},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5812146663665771},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5179454684257507},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4728910028934479},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.470243364572525},{"id":"https://openalex.org/keywords/cascade","display_name":"Cascade","score":0.45652878284454346},{"id":"https://openalex.org/keywords/template-matching","display_name":"Template matching","score":0.43643203377723694},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.14481854438781738},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08898186683654785}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.815436601638794},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7785256505012512},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.7459378838539124},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7088310122489929},{"id":"https://openalex.org/C71681937","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object-class detection","level":5,"score":0.6794894933700562},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6587622761726379},{"id":"https://openalex.org/C141404830","wikidata":"https://www.wikidata.org/wiki/Q2823869","display_name":"AdaBoost","level":3,"score":0.6448200941085815},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.5990710854530334},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5812146663665771},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5179454684257507},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4728910028934479},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.470243364572525},{"id":"https://openalex.org/C34146451","wikidata":"https://www.wikidata.org/wiki/Q5048094","display_name":"Cascade","level":2,"score":0.45652878284454346},{"id":"https://openalex.org/C158096908","wikidata":"https://www.wikidata.org/wiki/Q3983303","display_name":"Template matching","level":3,"score":0.43643203377723694},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.14481854438781738},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08898186683654785},{"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/C42360764","wikidata":"https://www.wikidata.org/wiki/Q83588","display_name":"Chemical engineering","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/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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/emeit.2011.6023971","is_oa":false,"landing_page_url":"https://doi.org/10.1109/emeit.2011.6023971","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of 2011 International Conference on Electronic & Mechanical Engineering and Information Technology","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":17,"referenced_works":["https://openalex.org/W2008999667","https://openalex.org/W2104577112","https://openalex.org/W2113341759","https://openalex.org/W2121601095","https://openalex.org/W2155535585","https://openalex.org/W2158046142","https://openalex.org/W2159686933","https://openalex.org/W2160367227","https://openalex.org/W2163965432","https://openalex.org/W2171048379","https://openalex.org/W2174839307","https://openalex.org/W3214102110","https://openalex.org/W4256462001","https://openalex.org/W6664369029","https://openalex.org/W6682854854","https://openalex.org/W6683931064","https://openalex.org/W6804270185"],"related_works":["https://openalex.org/W2096042813","https://openalex.org/W1993261271","https://openalex.org/W1877595604","https://openalex.org/W1970925716","https://openalex.org/W4327774107","https://openalex.org/W2784064218","https://openalex.org/W2047758967","https://openalex.org/W2242267494","https://openalex.org/W2469110227","https://openalex.org/W2348786948"],"abstract_inverted_index":{"Human":[0],"face":[1,4,18,31,34,47,52,89],"detection":[2,32],"and":[3,16,33,49,84],"organ":[5,35],"feature":[6,65],"location":[7,36,80],"are":[8,74,91],"both":[9],"important":[10],"steps":[11],"in":[12,93],"automatic":[13],"visual":[14],"interpretation":[15],"human":[17,30,46,51],"recognition":[19],"systems.":[20],"In":[21],"this":[22],"paper,":[23],"a":[24],"robust":[25],"system":[26,57,104],"which":[27],"focuses":[28],"on":[29,108],"is":[37],"introduced.":[38],"We":[39],"improve":[40],"the":[41,45,78,85,94,102],"cascade-structured":[42],"classifier":[43],"of":[44,81,87],"detector,":[48],"integrate":[50],"super-resolution":[53],"algorithm":[54,73],"into":[55],"our":[56],"to":[58,76],"help":[59],"processing":[60],"low-resolution":[61],"faces.":[62],"Template":[63],"matching,":[64],"space":[66],"analysis":[67],"method":[68],"(PCA)":[69],"combined":[70],"with":[71],"AdaBoost":[72],"used":[75],"get":[77],"precise":[79],"eye":[82],"feature,":[83],"locations":[86],"other":[88],"organs":[90],"incorporated":[92],"similar":[95],"framework.":[96],"The":[97],"experimental":[98],"results":[99],"demonstrate":[100],"that":[101],"proposed":[103],"has":[105],"good":[106],"performance":[107],"actual":[109],"images.":[110]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}