{"id":"https://openalex.org/W3151017950","doi":"https://doi.org/10.1109/iciap.2007.4362815","title":"Automated Lip Contour Detection Using the Level Set Segmentation Method","display_name":"Automated Lip Contour Detection Using the Level Set Segmentation Method","publication_year":2007,"publication_date":"2007-09-01","ids":{"openalex":"https://openalex.org/W3151017950","doi":"https://doi.org/10.1109/iciap.2007.4362815","mag":"3151017950"},"language":"en","primary_location":{"id":"doi:10.1109/iciap.2007.4362815","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iciap.2007.4362815","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"14th International Conference on Image Analysis and Processing (ICIAP 2007)","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/A5110289751","display_name":"Abu Sayeed Md. Sohail","orcid":null},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Abu Sayeed Md. Sohail","raw_affiliation_strings":["Concordia Institute for Information Systems Engineering, Concordia University, Montreal, QUE, Canada"],"affiliations":[{"raw_affiliation_string":"Concordia Institute for Information Systems Engineering, Concordia University, Montreal, QUE, Canada","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111872056","display_name":"Prabir Bhattacharya","orcid":null},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Prabir Bhattacharya","raw_affiliation_strings":["Concordia Institute for Information Systems Engineering, Concordia University, Montreal, QUE, Canada"],"affiliations":[{"raw_affiliation_string":"Concordia Institute for Information Systems Engineering, Concordia University, Montreal, QUE, Canada","institution_ids":["https://openalex.org/I60158472"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5110289751"],"corresponding_institution_ids":["https://openalex.org/I60158472"],"apc_list":null,"apc_paid":null,"fwci":0.3246,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.68487075,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"425","last_page":"430"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9962999820709229,"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":0.9962999820709229,"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/T10860","display_name":"Speech and Audio Processing","score":0.9943000078201294,"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"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9783999919891357,"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":0.8216515779495239},{"id":"https://openalex.org/keywords/adaboost","display_name":"AdaBoost","score":0.7130752801895142},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6727842688560486},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6247933506965637},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6137892007827759},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.5828592777252197},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5542831420898438},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5474668741226196},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5387848615646362},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.46742552518844604},{"id":"https://openalex.org/keywords/object-class-detection","display_name":"Object-class detection","score":0.4373953938484192},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.40044915676116943}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8216515779495239},{"id":"https://openalex.org/C141404830","wikidata":"https://www.wikidata.org/wiki/Q2823869","display_name":"AdaBoost","level":3,"score":0.7130752801895142},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6727842688560486},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6247933506965637},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6137892007827759},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.5828592777252197},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5542831420898438},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5474668741226196},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5387848615646362},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.46742552518844604},{"id":"https://openalex.org/C71681937","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object-class detection","level":5,"score":0.4373953938484192},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.40044915676116943},{"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/iciap.2007.4362815","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iciap.2007.4362815","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"14th International Conference on Image Analysis and Processing (ICIAP 2007)","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":20,"referenced_works":["https://openalex.org/W1893227739","https://openalex.org/W1961749270","https://openalex.org/W1991113069","https://openalex.org/W2093834886","https://openalex.org/W2104095591","https://openalex.org/W2105157274","https://openalex.org/W2106115875","https://openalex.org/W2106844098","https://openalex.org/W2122184585","https://openalex.org/W2125013164","https://openalex.org/W2125127226","https://openalex.org/W2125848778","https://openalex.org/W2134254394","https://openalex.org/W2149184914","https://openalex.org/W2795744704","https://openalex.org/W2998023265","https://openalex.org/W3097096317","https://openalex.org/W4248437541","https://openalex.org/W4293079168","https://openalex.org/W6677607857"],"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":{"This":[0],"paper":[1],"describes":[2],"a":[3,25,105,144],"fully":[4],"automated":[5],"technique":[6],"of":[7,27,58,74,81,115,134,151],"detecting":[8],"lip":[9,59,147],"contours":[10],"from":[11,37,64],"static":[12],"face":[13,49,129],"images.":[14],"Face":[15],"detection":[16,57,149],"is":[17,44,61],"performed":[18,63],"first":[19],"on":[20,126],"the":[21,28,38,53,70,97,113,116],"input":[22],"image":[23,75],"using":[24,69],"variation":[26],"AdaBoost":[29],"classifier":[30,43],"trained":[31,42],"with":[32],"Haar-":[33],"like":[34],"features":[35],"extracted":[36,48],"face.":[39],"A":[40,77],"second":[41],"applied":[45,93],"over":[46],"this":[47,65],"region":[50,68],"for":[51],"isolating":[52],"mouth":[54,67],"section.":[55],"The":[56,120],"contour":[60,148],"then":[62],"isolated":[66],"level":[71,82,98],"set":[72,83,99],"method":[73,122],"segmentation.":[76],"new":[78],"variational":[79],"formulation":[80],"method,":[84],"proposed":[85,121],"by":[86],"Li":[87],"et":[88],"al.":[89],"(CVPR-2005),":[90],"has":[91,123,153],"been":[92,124,154],"here":[94],"that":[95,131],"forces":[96],"function":[100,108],"to":[101,104],"be":[102],"close":[103],"signed":[106],"distance":[107],"and":[109,143],"therefore":[110],"completely":[111],"eliminates":[112],"need":[114],"costly":[117],"reinitialization":[118],"procedure.":[119],"tested":[125],"three":[127],"different":[128],"databases":[130],"contain":[132],"images":[133],"both":[135],"neutral":[136],"faces":[137],"as":[138,140],"well":[139],"facial":[141],"expressions,":[142],"maximum":[145],"successful":[146],"rate":[150],"91.08%":[152],"achieved.":[155]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}