{"id":"https://openalex.org/W2084484794","doi":"https://doi.org/10.1109/fcv.2013.6485477","title":"Multi pose face recognition using double stages classifications: SMLDA and fusion of scale invariant features","display_name":"Multi pose face recognition using double stages classifications: SMLDA and fusion of scale invariant features","publication_year":2013,"publication_date":"2013-01-01","ids":{"openalex":"https://openalex.org/W2084484794","doi":"https://doi.org/10.1109/fcv.2013.6485477","mag":"2084484794"},"language":"en","primary_location":{"id":"doi:10.1109/fcv.2013.6485477","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fcv.2013.6485477","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 19th Korea-Japan Joint Workshop on Frontiers of Computer Vision","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/A5080634966","display_name":"I Gede Pasek Suta Wijaya","orcid":"https://orcid.org/0000-0002-3813-013X"},"institutions":[{"id":"https://openalex.org/I168180000","display_name":"University of Mataram","ror":"https://ror.org/00fq07k50","country_code":"ID","type":"education","lineage":["https://openalex.org/I168180000"]}],"countries":["ID"],"is_corresponding":true,"raw_author_name":"I Gede Pasek Suta Wijaya","raw_affiliation_strings":["Department of Informatics Engineering and Electrical Engineering, Faculty of Engineering, Mataram University, Mataram, Indonesia","Dept. of Inf. Eng. & Electr. Eng., Mataram Univ., Mataram, Indonesia"],"affiliations":[{"raw_affiliation_string":"Department of Informatics Engineering and Electrical Engineering, Faculty of Engineering, Mataram University, Mataram, Indonesia","institution_ids":["https://openalex.org/I168180000"]},{"raw_affiliation_string":"Dept. of Inf. Eng. & Electr. Eng., Mataram Univ., Mataram, Indonesia","institution_ids":["https://openalex.org/I168180000"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113818116","display_name":"Keiichi Uchimura","orcid":null},"institutions":[{"id":"https://openalex.org/I96036126","display_name":"Kumamoto University","ror":"https://ror.org/02cgss904","country_code":"JP","type":"education","lineage":["https://openalex.org/I96036126"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Keiichi Uchimura","raw_affiliation_strings":["Department of Computer Science and Electrical Engineering, GSST-Kumamoto University, Kumamoto, Japan","Dept. of Comput. Sci. & Electr. Eng., GSST-Kumamoto Univ., Kumamoto, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Electrical Engineering, GSST-Kumamoto University, Kumamoto, Japan","institution_ids":["https://openalex.org/I96036126"]},{"raw_affiliation_string":"Dept. of Comput. Sci. & Electr. Eng., GSST-Kumamoto Univ., Kumamoto, Japan","institution_ids":["https://openalex.org/I96036126"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016988662","display_name":"Gou Koutaki","orcid":"https://orcid.org/0000-0002-3414-1085"},"institutions":[{"id":"https://openalex.org/I96036126","display_name":"Kumamoto University","ror":"https://ror.org/02cgss904","country_code":"JP","type":"education","lineage":["https://openalex.org/I96036126"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Gou Koutaki","raw_affiliation_strings":["Department of Computer Science and Electrical Engineering, GSST-Kumamoto University, Kumamoto, Japan","Dept. of Comput. Sci. & Electr. Eng., GSST-Kumamoto Univ., Kumamoto, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Electrical Engineering, GSST-Kumamoto University, Kumamoto, Japan","institution_ids":["https://openalex.org/I96036126"]},{"raw_affiliation_string":"Dept. of Comput. Sci. & Electr. Eng., GSST-Kumamoto Univ., Kumamoto, Japan","institution_ids":["https://openalex.org/I96036126"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5080634966"],"corresponding_institution_ids":["https://openalex.org/I168180000"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14622542,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"143","last_page":"148"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9983999729156494,"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":0.9814000129699707,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.8049079179763794},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.763272225856781},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7351232767105103},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6551488041877747},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6300535798072815},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.6199495196342468},{"id":"https://openalex.org/keywords/three-dimensional-face-recognition","display_name":"Three-dimensional face recognition","score":0.6010347604751587},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5699342489242554},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.42714399099349976},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4233441948890686},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4222591817378998},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.3149624466896057},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2050112783908844}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8049079179763794},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.763272225856781},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7351232767105103},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6551488041877747},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6300535798072815},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.6199495196342468},{"id":"https://openalex.org/C88799230","wikidata":"https://www.wikidata.org/wiki/Q3398329","display_name":"Three-dimensional face recognition","level":5,"score":0.6010347604751587},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5699342489242554},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.42714399099349976},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4233441948890686},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4222591817378998},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.3149624466896057},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2050112783908844},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","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/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","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},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fcv.2013.6485477","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fcv.2013.6485477","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 19th Korea-Japan Joint Workshop on Frontiers of Computer Vision","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":13,"referenced_works":["https://openalex.org/W947857775","https://openalex.org/W1975188435","https://openalex.org/W1985809919","https://openalex.org/W1989702938","https://openalex.org/W2051210749","https://openalex.org/W2103560185","https://openalex.org/W2138451337","https://openalex.org/W2143542740","https://openalex.org/W2151103935","https://openalex.org/W2156887092","https://openalex.org/W4285719527","https://openalex.org/W6624952431","https://openalex.org/W6683019079"],"related_works":["https://openalex.org/W2166031825","https://openalex.org/W2918845005","https://openalex.org/W2040482211","https://openalex.org/W2058325696","https://openalex.org/W2185537520","https://openalex.org/W325114128","https://openalex.org/W4285815683","https://openalex.org/W2336272890","https://openalex.org/W4312238398","https://openalex.org/W4308999963"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"alternative":[3],"technique":[4],"for":[5,95],"multi-pose":[6],"face":[7,25,73,86,102,119,123],"recognition":[8,107,134,150],"using":[9,91],"double":[10],"stages":[11],"classifications:":[12],"shifting":[13],"mean":[14],"LDA":[15],"(SMLDA)":[16],"and":[17,88,131],"fusion":[18],"of":[19,65,84,100,138,154],"scale":[20],"invariant":[21],"features":[22],"(FSIF)":[23],"based":[24,156],"descriptor.":[26],"The":[27,63,109],"first":[28],"stage":[29,47],"is":[30,50],"employed":[31,51],"to":[32,41,52,59,69,76,79,89,122],"find":[33,53],"the":[34,42,45,54,60,71,81,92,106,128,139,144],"best":[35,55],"class":[36,57],"candidates":[37],"that":[38,113,153],"are":[39,68],"similar":[40],"query":[43,61],"image":[44,103],"second":[46],"(i.e":[48],"FSIF)":[49],"matched":[56],"corresponding":[58],"image.":[62],"aims":[64],"this":[66],"method":[67,115,146],"solve":[70],"large":[72,118],"variability":[74,120],"due":[75,121],"pose":[77,98,124],"variations,":[78,125],"decrease":[80],"computational":[82,129],"time":[83],"FSIF-based":[85],"recognition,":[87],"avoid":[90],"3D":[93,155,160],"scanner":[94,161],"estimating":[96],"any":[97],"variations":[99],"a":[101],"without":[104,158],"decreasing":[105],"performance.":[108],"experimental":[110],"results":[111],"show":[112],"proposed":[114,145],"can":[116],"overcome":[117],"need":[126],"short":[127],"time,":[130],"give":[132],"better":[133,149],"rate":[135,151],"than":[136,152],"those":[137],"previous":[140],"method.":[141],"In":[142],"addition,":[143],"also":[147],"provides":[148],"methods":[157],"requiring":[159]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
