{"id":"https://openalex.org/W140282302","doi":null,"title":"FACE RECOGNITION USING GABOR-BASED IMPROVED SUPERVISED LOCALITY PRESERVING PROJECTIONS","display_name":"FACE RECOGNITION USING GABOR-BASED IMPROVED SUPERVISED LOCALITY PRESERVING PROJECTIONS","publication_year":2009,"publication_date":"2009-01-01","ids":{"openalex":"https://openalex.org/W140282302","mag":"140282302"},"language":"en","primary_location":{"id":"mag:140282302","doi":null,"is_oa":false,"landing_page_url":"https://dblp.uni-trier.de/db/journals/cai/cai28.html#JinR09","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Computing and Informatics / Computers and Artificial Intelligence","raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5033896100","display_name":"Yi Jin","orcid":"https://orcid.org/0000-0001-8408-3816","observed_orcids":["https://orcid.org/0000-0001-8408-3816"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yi Jin","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-8408-3816","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5010189896","display_name":"Qiu Qi Ruan","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qiu Qi Ruan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":98},"biblio":{"volume":"28","issue":"1","first_page":"81","last_page":"95"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9994999766349792,"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":0.9994999766349792,"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":0.0003000000142492354,"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":0.0,"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/face-recognition","display_name":"face recognition","score":0.9990000128746033},{"id":"https://openalex.org/keywords/gabor-wavelets","display_name":"Gabor wavelets","score":0.9660000205039978},{"id":"https://openalex.org/keywords/2dpca","display_name":"2DPCA","score":0.7950000166893005},{"id":"https://openalex.org/keywords/feature-redundancy-reduction","display_name":"feature redundancy reduction","score":0.6650000214576721},{"id":"https://openalex.org/keywords/illumination-invariance","display_name":"illumination invariance","score":0.8270000219345093},{"id":"https://openalex.org/keywords/facial-expression-robustness","display_name":"facial expression robustness","score":0.6980000138282776},{"id":"https://openalex.org/keywords/pose-robustness","display_name":"pose robustness","score":0.7929999828338623},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"dimensionality reduction","score":0.7179999947547913},{"id":"https://openalex.org/keywords/gabor-feature-extraction","display_name":"Gabor feature extraction","score":0.7649999856948853}],"concepts":[{"id":"https://openalex.org/C136902061","wikidata":"https://www.wikidata.org/wiki/Q16981559","display_name":"Gabor wavelet","level":5,"score":0.9083434343338013},{"id":"https://openalex.org/C2779808786","wikidata":"https://www.wikidata.org/wiki/Q6664603","display_name":"Locality","level":2,"score":0.7886720895767212},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7703555822372437},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.754909336566925},{"id":"https://openalex.org/C2779883129","wikidata":"https://www.wikidata.org/wiki/Q2447890","display_name":"Gabor filter","level":3,"score":0.7488802671432495},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.6812641024589539},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6236533522605896},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5869478583335876},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.455790638923645},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.43567922711372375},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42370253801345825},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.412114679813385},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.3292366862297058},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.327711820602417},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.11058974266052246},{"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/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},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:140282302","doi":null,"is_oa":false,"landing_page_url":"https://dblp.uni-trier.de/db/journals/cai/cai28.html#JinR09","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Computing and Informatics / Computers and Artificial Intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1541521713","https://openalex.org/W1914401667","https://openalex.org/W2001141328","https://openalex.org/W2031802401","https://openalex.org/W2053186076","https://openalex.org/W2070110734","https://openalex.org/W2090341258","https://openalex.org/W2095469431","https://openalex.org/W2102544846","https://openalex.org/W2113802285","https://openalex.org/W2117553576","https://openalex.org/W2121647436","https://openalex.org/W2134935984","https://openalex.org/W2138451337","https://openalex.org/W2154357715","https://openalex.org/W2159857630","https://openalex.org/W2165731615","https://openalex.org/W2171937595"],"related_works":["https://openalex.org/W2150465976","https://openalex.org/W2119638749","https://openalex.org/W2359289401","https://openalex.org/W2016787531","https://openalex.org/W2037468939","https://openalex.org/W2605860793","https://openalex.org/W2370001238","https://openalex.org/W1969243550","https://openalex.org/W2354075723","https://openalex.org/W2495657566"],"abstract_inverted_index":{"A":[0],"novel":[1],"Gabor-based":[2],"Improved":[3,32,139],"Supervised":[4,33,140],"Locality":[5,34,141],"Preserving":[6,35,142],"Projections":[7,36,143],"for":[8,37,118,150,162],"face":[9,29,38,68,178],"recognition":[10,39,171,210],"is":[11,19,42,58,78,89,112,136],"presented":[12],"in":[13,46,131,153,201],"this":[14,54],"paper.":[15],"This":[16],"new":[17,103,187,193],"algorithm":[18,104,194],"based":[20,174],"on":[21,175],"a":[22,72,147,154,206],"combination":[23],"of":[24,28,185],"Gabor":[25,56,87,94,99,114],"wavelets":[26,100,115],"representation":[27,164],"images":[30],"and":[31,40,48,51,70,129,168,183,204],"it":[41],"robust":[43],"to":[44,61,83,91,125],"changes":[45],"illumination":[47],"facial":[49],"expressions":[50],"poses.":[52],"In":[53],"paper,":[55],"filter":[57],"first":[59],"designed":[60],"extract":[62],"the":[63,66,138,170,176,181,186,196,202],"features":[64],"from":[65,98,107,165],"whole":[67],"images,":[69],"then":[71],"supervised":[73],"locality":[74],"preserving":[75],"projections,":[76],"which":[77],"improved":[79],"by":[80],"two-directional":[81],"2DPCA":[82],"eliminate":[84],"redundancy":[85],"among":[86],"features,":[88],"used":[90],"augment":[92],"these":[93],"feature":[95,132],"vectors":[96],"derived":[97],"representation.":[101],"The":[102,134],"benefits":[105],"mostly":[106],"two":[108,166],"aspects:":[109],"One":[110],"aspect":[111],"that":[113,137,191],"are":[116],"promoted":[117],"their":[119],"useful":[120],"properties,":[121],"such":[122],"as":[123],"invariance":[124],"illumination,":[126],"rotation,":[127],"scale":[128],"translations,":[130],"extraction.":[133],"other":[135,197],"not":[144],"only":[145],"provides":[146],"category":[148],"label":[149],"each":[151],"class":[152],"training":[155],"set,":[156],"but":[157],"also":[158],"reduces":[159],"more":[160],"coefficients":[161],"image":[163],"directions":[167],"boost":[169],"speed.":[172],"Experiments":[173],"ORL":[177],"database":[179],"demonstrate":[180],"effectiveness":[182],"efficiency":[184],"method.":[188],"Results":[189],"show":[190],"our":[192],"outperforms":[195],"popular":[198],"approaches":[199],"reported":[200],"literature":[203],"achieves":[205],"much":[207],"higher":[208],"accurate":[209],"rate.":[211]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":3}],"updated_date":"2026-11-03T10:50:19.383937","created_date":"2016-06-24T00:00:00"}