{"id":"https://openalex.org/W2507983867","doi":"https://doi.org/10.1109/icip.2016.7532952","title":"A deep facial landmarks detection with facial contour and facial components constraint","display_name":"A deep facial landmarks detection with facial contour and facial components constraint","publication_year":2016,"publication_date":"2016-08-17","ids":{"openalex":"https://openalex.org/W2507983867","doi":"https://doi.org/10.1109/icip.2016.7532952","mag":"2507983867"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2016.7532952","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7532952","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Image Processing (ICIP)","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/A5043867103","display_name":"Wissam J. Baddar","orcid":null},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Wissam J. Baddar","raw_affiliation_strings":["Image and Video Systems Lab., KAIST, Daejeon, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Image and Video Systems Lab., KAIST, Daejeon, Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042447743","display_name":"Jisoo Son","orcid":null},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jisoo Son","raw_affiliation_strings":["Image and Video Systems Lab., KAIST, Daejeon, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Image and Video Systems Lab., KAIST, Daejeon, Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055987476","display_name":"Dae Hoe Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Dae Hoe Kim","raw_affiliation_strings":["Image and Video Systems Lab., KAIST, Daejeon, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Image and Video Systems Lab., KAIST, Daejeon, Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100646694","display_name":"Seong Tae Kim","orcid":"https://orcid.org/0000-0002-2132-6021"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seong Tae Kim","raw_affiliation_strings":["Image and Video Systems Lab., KAIST, Daejeon, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Image and Video Systems Lab., KAIST, Daejeon, Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038798134","display_name":"Yong Man Ro","orcid":"https://orcid.org/0000-0001-5306-6853"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yong Man Ro","raw_affiliation_strings":["Image and Video Systems Lab., KAIST, Daejeon, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Image and Video Systems Lab., KAIST, Daejeon, Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I157485424"],"apc_list":null,"apc_paid":null,"fwci":2.028,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.91228503,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"3209","last_page":"3213"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":1.0,"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":1.0,"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":0.9961000084877014,"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":0.9894000291824341,"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":0.6895827054977417},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6615874767303467},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.615477442741394},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5917571187019348},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.48585936427116394},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3634869158267975},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16107627749443054}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6895827054977417},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6615874767303467},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.615477442741394},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5917571187019348},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.48585936427116394},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3634869158267975},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16107627749443054},{"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},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2016.7532952","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7532952","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.699999988079071,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W169095154","https://openalex.org/W1536775035","https://openalex.org/W1795776638","https://openalex.org/W1796263212","https://openalex.org/W1855204404","https://openalex.org/W1896424170","https://openalex.org/W1950311118","https://openalex.org/W1963599662","https://openalex.org/W1976948919","https://openalex.org/W1990937109","https://openalex.org/W1998294030","https://openalex.org/W2038952578","https://openalex.org/W2047508432","https://openalex.org/W2058961190","https://openalex.org/W2082308025","https://openalex.org/W2087681821","https://openalex.org/W2090530238","https://openalex.org/W2111372597","https://openalex.org/W2129210471","https://openalex.org/W2149382413","https://openalex.org/W2152826865","https://openalex.org/W2155893237","https://openalex.org/W2157285372","https://openalex.org/W2163998463","https://openalex.org/W2166694921","https://openalex.org/W2952596593","https://openalex.org/W2963483939","https://openalex.org/W6606798317","https://openalex.org/W6632171401","https://openalex.org/W6638488279","https://openalex.org/W6639495226","https://openalex.org/W6662335928","https://openalex.org/W6684333976"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W1969923398","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2079911747","https://openalex.org/W2170022336"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"propose":[4],"a":[5,92],"new":[6],"facial":[7,16,19,30,47,58,69,88,108,115,121],"landmarks":[8,43,55,66,105,117],"detection":[9,32,67],"method":[10,130],"based":[11],"on":[12,45,57,106,120],"deep":[13,24,36],"learning":[14,94],"with":[15,68],"contour":[17,48,109,116],"and":[18,49,118],"components":[20,89],"constraints.":[21],"The":[22],"proposed":[23,97,129],"convolutional":[25],"neural":[26],"networks":[27],"(DCNNs)":[28],"for":[29,64,102],"landmark":[31],"consists":[33],"of":[34],"two":[35],"networks:":[37],"one":[38],"DCNN":[39,62,101],"is":[40,52,72,96],"to":[41,53,83,98],"detect":[42,54],"constrained":[44,56],"the":[46,50,65,76,85,100,104,107,112,128,132],"other":[51],"components.":[59,122],"A":[60],"novel":[61,93],"structure":[63],"component":[70],"constraints":[71],"proposed,":[73],"which":[74],"branches":[75],"network":[77],"at":[78],"higher":[79],"layers":[80],"in":[81],"order":[82],"capture":[84],"intricate":[86],"local":[87],"features.":[90],"Moreover,":[91],"strategy":[95],"learn":[99],"detecting":[103],"by":[110],"exploiting":[111],"relationship":[113],"between":[114],"those":[119],"Experimental":[123],"results":[124],"have":[125],"shown":[126],"that":[127],"outperforms":[131],"state-of-the-art":[133],"FLD":[134],"methods.":[135]},"counts_by_year":[{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":7}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
