{"id":"https://openalex.org/W2075284849","doi":"https://doi.org/10.1109/ciss.2007.4298364","title":"Fusion for Component Based Face Recognition","display_name":"Fusion for Component Based Face Recognition","publication_year":2007,"publication_date":"2007-03-01","ids":{"openalex":"https://openalex.org/W2075284849","doi":"https://doi.org/10.1109/ciss.2007.4298364","mag":"2075284849"},"language":"en","primary_location":{"id":"doi:10.1109/ciss.2007.4298364","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ciss.2007.4298364","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 41st Annual Conference on Information Sciences and Systems","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/A5054564234","display_name":"Yanjun Yan","orcid":"https://orcid.org/0000-0002-5152-6614"},"institutions":[{"id":"https://openalex.org/I70983195","display_name":"Syracuse University","ror":"https://ror.org/025r5qe02","country_code":"US","type":"education","lineage":["https://openalex.org/I70983195"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yanjun Yan","raw_affiliation_strings":["EECS, Syracuse University, Syracuse, NY, USA","Syracuse University, Syracuse#TAB#"],"affiliations":[{"raw_affiliation_string":"EECS, Syracuse University, Syracuse, NY, USA","institution_ids":["https://openalex.org/I70983195"]},{"raw_affiliation_string":"Syracuse University, Syracuse#TAB#","institution_ids":["https://openalex.org/I70983195"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002344476","display_name":"Lisa Ann Osadciw","orcid":null},"institutions":[{"id":"https://openalex.org/I70983195","display_name":"Syracuse University","ror":"https://ror.org/025r5qe02","country_code":"US","type":"education","lineage":["https://openalex.org/I70983195"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lisa Ann Osadciw","raw_affiliation_strings":["EECS, Syracuse University, Syracuse, NY, USA","Syracuse University, Syracuse#TAB#"],"affiliations":[{"raw_affiliation_string":"EECS, Syracuse University, Syracuse, NY, USA","institution_ids":["https://openalex.org/I70983195"]},{"raw_affiliation_string":"Syracuse University, Syracuse#TAB#","institution_ids":["https://openalex.org/I70983195"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5054564234"],"corresponding_institution_ids":["https://openalex.org/I70983195"],"apc_list":null,"apc_paid":null,"fwci":1.9726,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.87162214,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"5404","issue":null,"first_page":"535","last_page":"535"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9980999827384949,"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":0.9980999827384949,"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":0.9692000150680542,"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/T13717","display_name":"Advanced Algorithms and Applications","score":0.9535999894142151,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.746362030506134},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6982253789901733},{"id":"https://openalex.org/keywords/modular-design","display_name":"Modular design","score":0.6537739038467407},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.628174901008606},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6177993416786194},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5878137350082397},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5826749205589294},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.5502606630325317},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5123423337936401},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.49354612827301025},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4741581976413727},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4601711630821228},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.21761846542358398}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.746362030506134},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6982253789901733},{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.6537739038467407},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.628174901008606},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6177993416786194},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5878137350082397},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5826749205589294},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.5502606630325317},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5123423337936401},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.49354612827301025},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4741581976413727},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4601711630821228},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.21761846542358398},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ciss.2007.4298364","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ciss.2007.4298364","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 41st Annual Conference on Information Sciences and Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:surface.syr.edu:eecs-1067","is_oa":false,"landing_page_url":"https://surface.syr.edu/eecs/68","pdf_url":null,"source":{"id":"https://openalex.org/S4306401700","display_name":"Syracuse University Libraries (Syracuse University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I70983195","host_organization_name":"Syracuse University","host_organization_lineage":["https://openalex.org/I70983195"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Electrical Engineering and Computer Science - All Scholarship","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6000000238418579,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W39526896","https://openalex.org/W2138451337","https://openalex.org/W2160523592"],"related_works":["https://openalex.org/W2788731446","https://openalex.org/W2204403038","https://openalex.org/W3152170969","https://openalex.org/W2379054866","https://openalex.org/W2549658594","https://openalex.org/W2095903272","https://openalex.org/W2370195708","https://openalex.org/W1490651872","https://openalex.org/W2139242969","https://openalex.org/W2284201331"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,50],"practical":[4],"way":[5],"to":[6,124],"realize":[7],"the":[8,19,23,35,42,46,61,65,69,75,80,103,113,118,128],"diversity":[9],"in":[10,108],"face":[11,37,43,62,81],"recognition":[12,76],"system":[13,129],"for":[14,49],"performance":[15,132],"improvement":[16],"by":[17],"fusing":[18],"classification":[20],"results":[21],"from":[22,34,60,74],"components":[24,83],"(characteristic":[25],"regions":[26],"such":[27],"as":[28],"eyes,":[29],"nose":[30],"and":[31,33,45,89,95,105,117,131],"mouth)":[32],"whole":[36],"image,":[38,63],"instead":[39],"of":[40,115,120],"concatenating":[41],"feature":[44],"modular":[47],"features":[48],"single":[51],"classifier.":[52],"The":[53,85],"extracted":[54],"sub-images":[55],"are":[56,100],"not":[57],"totally":[58],"independent":[59],"but":[64],"experiments":[66],"show":[67],"that":[68],"fused":[70],"result":[71,77],"is":[72,87],"improved":[73],"based":[78],"on":[79,127],"or":[82],"alone.":[84],"fusion":[86,106,111,122],"implemented":[88],"compared":[90],"at":[91,112],"both":[92],"score":[93],"level":[94,110],"decision":[96,109],"level.":[97],"Communication":[98],"resources":[99,130],"preserved":[101],"between":[102],"sensor":[104],"point":[107],"expense":[114],"performance,":[116],"selection":[119],"which":[121],"scheme":[123],"use":[125],"depends":[126],"requirement.":[133]},"counts_by_year":[{"year":2014,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}