{"id":"https://openalex.org/W2148051722","doi":"https://doi.org/10.1109/icpr.2008.4761054","title":"Face recognition based on LBP and orthogonal rank-one tensor projections","display_name":"Face recognition based on LBP and orthogonal rank-one tensor projections","publication_year":2008,"publication_date":"2008-12-01","ids":{"openalex":"https://openalex.org/W2148051722","doi":"https://doi.org/10.1109/icpr.2008.4761054","mag":"2148051722"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2008.4761054","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2008.4761054","pdf_url":null,"source":{"id":"https://openalex.org/S4393916651","display_name":"Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition","issn_l":"1041-3278","issn":["1041-3278","1051-4651"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 19th International Conference on Pattern Recognition","raw_type":"proceedings-article"},"type":"conference-paper","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/A5110188494","display_name":"Nutao Tan","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"NuTao Tan","raw_affiliation_strings":["Chinese Academy of Sciences, Beijing, China","Institute of Automation, Chinese Academy and Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"Institute of Automation, Chinese Academy and Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101832462","display_name":"Lei Huang","orcid":"https://orcid.org/0000-0001-8323-8396"},"institutions":[{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Huang","raw_affiliation_strings":["Institute of Automation, Chinese Academy and Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy and Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103160858","display_name":"Changping Liu","orcid":"https://orcid.org/0009-0007-4205-4268"},"institutions":[{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"ChangPing Liu","raw_affiliation_strings":["Institute of Automation, Chinese Academy and Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy and Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5213,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.62281942,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"846 853","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9975000023841858,"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":0.9975000023841858,"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":0.9919999837875366,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9909999966621399,"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/local-binary-patterns","display_name":"Local binary patterns","score":0.8741542100906372},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7290908694267273},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6746023297309875},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6383248567581177},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6271922588348389},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6214292049407959},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.6000071167945862},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.5815488696098328},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.5673781633377075},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5017156600952148},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4414891004562378},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34109365940093994},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2700508236885071},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2346763014793396},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1225152313709259},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.06980010867118835}],"concepts":[{"id":"https://openalex.org/C87335442","wikidata":"https://www.wikidata.org/wiki/Q2494345","display_name":"Local binary patterns","level":4,"score":0.8741542100906372},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7290908694267273},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6746023297309875},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6383248567581177},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6271922588348389},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6214292049407959},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.6000071167945862},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.5815488696098328},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.5673781633377075},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5017156600952148},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4414891004562378},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34109365940093994},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2700508236885071},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2346763014793396},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1225152313709259},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.06980010867118835},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icpr.2008.4761054","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2008.4761054","pdf_url":null,"source":{"id":"https://openalex.org/S4393916651","display_name":"Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition","issn_l":"1041-3278","issn":["1041-3278","1051-4651"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 19th International Conference on Pattern Recognition","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.214.825","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.214.825","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://figment.cse.usf.edu/~sfefilat/data/papers/MoBT9.15.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7699999809265137}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1545641654","https://openalex.org/W2039051707","https://openalex.org/W2104294146","https://openalex.org/W2117415790","https://openalex.org/W2120954940","https://openalex.org/W2121647436","https://openalex.org/W2131335073","https://openalex.org/W2163352848","https://openalex.org/W2169596663","https://openalex.org/W2170858770","https://openalex.org/W6679591791"],"related_works":["https://openalex.org/W2055219403","https://openalex.org/W2791313072","https://openalex.org/W200201533","https://openalex.org/W1589677080","https://openalex.org/W4171918","https://openalex.org/W1999808563","https://openalex.org/W2890370013","https://openalex.org/W2770255720","https://openalex.org/W1509533962","https://openalex.org/W2985118265"],"abstract_inverted_index":{"In":[0],"this":[1,120],"paper,":[2],"a":[3],"novel":[4],"framework":[5],"for":[6,30],"face":[7,52],"recognition":[8,53],"based":[9,51],"on":[10],"discriminatively":[11],"trained":[12],"orthogonal":[13,56],"rank-one":[14],"tensor":[15],"projections":[16],"(ORO)":[17],"and":[18,33,36,42,97,110],"local":[19],"binary":[20],"pattern":[21],"(LBP)":[22],"is":[23,26,38,108,118,122],"proposed.":[24],"LBP":[25,66,107],"an":[27],"efficient":[28],"method":[29],"extracting":[31],"shape":[32],"texture":[34],"information":[35],"it":[37],"robustness":[39],"to":[40,61,72,124,127],"illumination":[41],"expression,":[43],"while":[44],"ORO":[45,91,117],"has":[46,80],"been":[47,81],"successful":[48],"in":[49,83],"appearance":[50],"by":[54,67],"finding":[55],"tensors.":[57],"Accordingly,":[58],"we":[59,70],"propose":[60,71],"reduce":[62],"the":[63,74,89,104,111],"dimension":[64],"of":[65,106,113,116],"ORO.":[68,84],"Moreover,":[69],"update":[73],"k-nearest":[75],"neighbors":[76],"when":[77],"each":[78],"subspace":[79],"obtained":[82],"The":[85],"experiments":[86],"demonstrate":[87],"that":[88],"new":[90],"can":[92],"be":[93,125],"stabilized":[94],"more":[95],"quickly":[96],"obtain":[98],"higher":[99],"correct":[100],"rate.":[101],"Finally,":[102],"because":[103],"computation":[105],"simple":[109],"size":[112],"compress":[114],"matrix":[115],"small,":[119],"algorithm":[121],"easy":[123],"applied":[126],"embedded":[128],"application.":[129]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}