{"id":"https://openalex.org/W2035553612","doi":"https://doi.org/10.1142/s021800140200185x","title":"COMBINED CLASSIFICATION OF MULTIPLE VIEWS USING FACIAL CORNERS","display_name":"COMBINED CLASSIFICATION OF MULTIPLE VIEWS USING FACIAL CORNERS","publication_year":2002,"publication_date":"2002-08-01","ids":{"openalex":"https://openalex.org/W2035553612","doi":"https://doi.org/10.1142/s021800140200185x","mag":"2035553612"},"language":"en","primary_location":{"id":"doi:10.1142/s021800140200185x","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s021800140200185x","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-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/A5071549690","display_name":"Yongsheng Gao","orcid":"https://orcid.org/0000-0002-5382-5351"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"YONGSHENG GAO","raw_affiliation_strings":["School of Computer Engineering, Nanyang Technological  University, Singapore 639798, Singapore","School of Computer Engineering, Nanyang Technological University, Singapore 639798, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Engineering, Nanyang Technological  University, Singapore 639798, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"School of Computer Engineering, Nanyang Technological University, Singapore 639798, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019015508","display_name":"M.K.H. Leung","orcid":"https://orcid.org/0000-0002-1023-7162"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"MAYLOR K. H. LEUNG","raw_affiliation_strings":["School of Computer Engineering, Nanyang Technological  University, Singapore 639798, Singapore","School of Computer Engineering, Nanyang Technological University, Singapore 639798, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Engineering, Nanyang Technological  University, Singapore 639798, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"School of Computer Engineering, Nanyang Technological University, Singapore 639798, Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11743431,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"16","issue":"05","first_page":"589","last_page":"602"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.998199999332428,"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":0.998199999332428,"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/T13579","display_name":"Image and Video Stabilization","score":0.9891999959945679,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9886999726295471,"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":0.7805576324462891},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7225354313850403},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.6564169526100159},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6474445462226868},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6152248978614807},{"id":"https://openalex.org/keywords/hausdorff-distance","display_name":"Hausdorff distance","score":0.6092989444732666},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5574171543121338},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5358219146728516},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.523257851600647},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4953266680240631},{"id":"https://openalex.org/keywords/three-dimensional-face-recognition","display_name":"Three-dimensional face recognition","score":0.4703177511692047},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.2866199016571045},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1697838306427002}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7805576324462891},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7225354313850403},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.6564169526100159},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6474445462226868},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6152248978614807},{"id":"https://openalex.org/C141898687","wikidata":"https://www.wikidata.org/wiki/Q1501997","display_name":"Hausdorff distance","level":2,"score":0.6092989444732666},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5574171543121338},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5358219146728516},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.523257851600647},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4953266680240631},{"id":"https://openalex.org/C88799230","wikidata":"https://www.wikidata.org/wiki/Q3398329","display_name":"Three-dimensional face recognition","level":5,"score":0.4703177511692047},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.2866199016571045},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1697838306427002},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1142/s021800140200185x","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s021800140200185x","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:research-repository.griffith.edu.au:10072/21564","is_oa":false,"landing_page_url":"http://hdl.handle.net/10072/21564","pdf_url":null,"source":{"id":"https://openalex.org/S4306402548","display_name":"Griffith Research Online (Griffith University, Queensland, Australia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I11701301","host_organization_name":"Griffith University","host_organization_lineage":["https://openalex.org/I11701301"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W50303631","https://openalex.org/W1597739853","https://openalex.org/W1768983434","https://openalex.org/W1956660673","https://openalex.org/W2003370853","https://openalex.org/W2005173099","https://openalex.org/W2007919809","https://openalex.org/W2014440151","https://openalex.org/W2049562841","https://openalex.org/W2051366222","https://openalex.org/W2062354294","https://openalex.org/W2070582226","https://openalex.org/W2075972813","https://openalex.org/W2078085827","https://openalex.org/W2090242388","https://openalex.org/W2092999827","https://openalex.org/W2095364258","https://openalex.org/W2095757522","https://openalex.org/W2098947662","https://openalex.org/W2099368561","https://openalex.org/W2102897151","https://openalex.org/W2107105977","https://openalex.org/W2108729336","https://openalex.org/W2113341759","https://openalex.org/W2116165535","https://openalex.org/W2121961535","https://openalex.org/W2124592837","https://openalex.org/W2129119440","https://openalex.org/W2138451337","https://openalex.org/W2144354855","https://openalex.org/W2145023731","https://openalex.org/W2159540571","https://openalex.org/W2160754664","https://openalex.org/W2161979975","https://openalex.org/W2296297488"],"related_works":["https://openalex.org/W2166031825","https://openalex.org/W2918845005","https://openalex.org/W2040482211","https://openalex.org/W4387163326","https://openalex.org/W3108145925","https://openalex.org/W325114128","https://openalex.org/W2185537520","https://openalex.org/W1517271056","https://openalex.org/W63491089","https://openalex.org/W2386048950"],"abstract_inverted_index":{"The":[0,18,81,104],"profile":[1,25,47,69,102],"view":[2,77],"of":[3,27,113],"a":[4,7,51,56,73,84],"face":[5,48,58,78],"provides":[6],"complementary":[8],"structure":[9],"that":[10],"is":[11,42],"not":[12],"seen":[13],"in":[14,100],"the":[15,31,46,94,101],"frontal":[16,23,67],"view.":[17],"classification":[19,32],"system":[20,119],"combining":[21],"both":[22,66],"and":[24,68,89,92,96],"views":[26,112],"faces":[28,114],"can":[29,62],"improve":[30],"accuracy.":[33],"And":[34],"it":[35,41],"would":[36],"be":[37,63],"more":[38],"foolproof":[39],"because":[40],"difficult":[43],"to":[44,71,115],"fool":[45],"identification":[49,79],"by":[50],"mask.":[52],"This":[53],"paper":[54],"proposes":[55],"new":[57],"recognition":[59,82],"approach,":[60],"which":[61],"applied":[64],"on":[65],"faces,":[70],"build":[72],"robust":[74],"combined":[75],"multiple":[76,111],"system.":[80],"employs":[83],"novel":[85],"facial":[86,98],"corner":[87],"coding":[88],"matching":[90],"method,":[91],"integrates":[93],"outline":[95],"interior":[97],"parts":[99],"matching.":[103],"proposed":[105],"multiview":[106],"modified":[107],"Hausdorff":[108],"distance":[109],"fuses":[110],"achieve":[116],"an":[117],"improved":[118],"performance.":[120]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
