{"id":"https://openalex.org/W1560122922","doi":"https://doi.org/10.1109/icarcv.2002.1238519","title":"Chin contour estimation using modified Canny edge detector","display_name":"Chin contour estimation using modified Canny edge detector","publication_year":2004,"publication_date":"2004-03-23","ids":{"openalex":"https://openalex.org/W1560122922","doi":"https://doi.org/10.1109/icarcv.2002.1238519","mag":"1560122922"},"language":"en","primary_location":{"id":"doi:10.1109/icarcv.2002.1238519","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarcv.2002.1238519","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"7th International Conference on Control, Automation, Robotics and Vision, 2002. ICARCV 2002.","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/A5109868389","display_name":"Kar-Kin Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kar-Kin Lee","raw_affiliation_strings":["Department of Electronic Engineering, Chinese University of Hong Kong, Sha Tin, Hong Kong, China","Dept of Electron. Eng., Chinese Univ. of Hong Kong, Shatin, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Chinese University of Hong Kong, Sha Tin, Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]},{"raw_affiliation_string":"Dept of Electron. Eng., Chinese Univ. of Hong Kong, Shatin, China","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110502034","display_name":"Wai-Kuen Cham","orcid":null},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wai-Kuen Cham","raw_affiliation_strings":["Department of Electronic Engineering, Chinese University of Hong Kong, Sha Tin, Hong Kong, China","Dept of Electron. Eng., Chinese Univ. of Hong Kong, Shatin, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Chinese University of Hong Kong, Sha Tin, Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]},{"raw_affiliation_string":"Dept of Electron. Eng., Chinese Univ. of Hong Kong, Shatin, China","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008321776","display_name":"Q. Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qin-Ran Chen","raw_affiliation_strings":["Department of Electronic Engineering, Chinese University of Hong Kong, Sha Tin, Hong Kong, China","Dept of Electron. Eng., Chinese Univ. of Hong Kong, Shatin, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Chinese University of Hong Kong, Sha Tin, Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]},{"raw_affiliation_string":"Dept of Electron. Eng., Chinese Univ. of Hong Kong, Shatin, China","institution_ids":["https://openalex.org/I177725633"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5109868389"],"corresponding_institution_ids":["https://openalex.org/I177725633"],"apc_list":null,"apc_paid":null,"fwci":0.5466,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.6702749,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"770","last_page":"775"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9966999888420105,"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":0.9966999888420105,"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":0.9936000108718872,"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":0.9934999942779541,"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/chin","display_name":"Chin","score":0.9849513173103333},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6776894330978394},{"id":"https://openalex.org/keywords/canny-edge-detector","display_name":"Canny edge detector","score":0.6751493215560913},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6270765066146851},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.5772793889045715},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5732120871543884},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5286512970924377},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4900716543197632},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3491072654724121},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.29518550634384155},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.24335977435112},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1527310013771057}],"concepts":[{"id":"https://openalex.org/C2779881321","wikidata":"https://www.wikidata.org/wiki/Q82714","display_name":"Chin","level":2,"score":0.9849513173103333},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6776894330978394},{"id":"https://openalex.org/C14705441","wikidata":"https://www.wikidata.org/wiki/Q597183","display_name":"Canny edge detector","level":5,"score":0.6751493215560913},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6270765066146851},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.5772793889045715},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5732120871543884},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5286512970924377},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4900716543197632},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3491072654724121},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.29518550634384155},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.24335977435112},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1527310013771057},{"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},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icarcv.2002.1238519","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarcv.2002.1238519","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"7th International Conference on Control, Automation, Robotics and Vision, 2002. ICARCV 2002.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1991925018","https://openalex.org/W2019083158","https://openalex.org/W2106418974","https://openalex.org/W2118276702","https://openalex.org/W2136700287","https://openalex.org/W6677790006"],"related_works":["https://openalex.org/W3169126738","https://openalex.org/W1994279415","https://openalex.org/W2558559991","https://openalex.org/W1986338341","https://openalex.org/W2545065926","https://openalex.org/W2980082320","https://openalex.org/W3093839383","https://openalex.org/W2387510934","https://openalex.org/W2015446345","https://openalex.org/W3004771112"],"abstract_inverted_index":{"A":[0,61,104],"novel":[1],"method":[2,28],"to":[3,69,75,121],"estimate":[4],"the":[5,10,14,18,31,40,43,81,101,109,115,123,131,136,150],"chin":[6,15,59,82,87,90,102,117,137,152],"contour":[7,118],"which":[8],"is":[9,25,66,119,158],"curve":[11,113],"that":[12,30,72,107,130],"separates":[13],"region":[16,20,35],"from":[17,39],"neck":[19,34],"of":[21,45,80,96,100,111,139,142],"a":[22,94,112],"human":[23,140],"face":[24,32,161],"proposed.":[26],"The":[27,52],"assumes":[29],"and":[33,42,48,89,149],"has":[36],"been":[37],"separated":[38],"background":[41],"locations":[44],"eyes,":[46],"mouth,":[47],"nose":[49],"are":[50],"known.":[51],"proposed":[53,132],"algorithm":[54,133],"first":[55],"estimates":[56],"several":[57],"possible":[58],"locations.":[60],"modified":[62],"Canny":[63],"edge":[64],"detector":[65],"then":[67],"used":[68,120],"extract":[70,135],"edges":[71,88],"possess":[73],"properties":[74],"qualify":[76],"themselves":[77],"as":[78,98],"parts":[79],"contour.":[83,103],"Using":[84],"these":[85],"estimated":[86,151],"locations,":[91],"we":[92],"obtain":[93],"number":[95],"curves":[97],"candidates":[99],"confidence":[105,156],"score":[106,157],"measures":[108],"likeliness":[110],"being":[114],"actual":[116],"select":[122],"most":[124],"likely":[125],"candidate.":[126],"Experimental":[127],"results":[128],"show":[129],"can":[134],"contours":[138,153],"faces":[141],"different":[143],"facial":[144],"expressions":[145],"with":[146,154],"good":[147],"accuracy":[148],"high":[155],"useful":[159],"for":[160],"recognition.":[162]},"counts_by_year":[{"year":2015,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
