{"id":"https://openalex.org/W2124144285","doi":"https://doi.org/10.1109/icpr.2002.1044639","title":"A new LDA-based method for face recognition","display_name":"A new LDA-based method for face recognition","publication_year":2003,"publication_date":"2003-06-25","ids":{"openalex":"https://openalex.org/W2124144285","doi":"https://doi.org/10.1109/icpr.2002.1044639","mag":"2124144285"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2002.1044639","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2002.1044639","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Object recognition supported by user interaction for service robots","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/A5068708887","display_name":"Bing Yu","orcid":"https://orcid.org/0000-0003-0237-7824"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yu Bing","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Zhejiang, Hangzhou, China","Dept. of Comput. Sci. & Eng., Zhejiang Univ., China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Zhejiang, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]},{"raw_affiliation_string":"Dept. of Comput. Sci. & Eng., Zhejiang Univ., China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jin Lianfu","orcid":null},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Lianfu","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Zhejiang, Hangzhou, China","Dept. of Comput. Sci. & Eng., Zhejiang Univ., China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Zhejiang, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]},{"raw_affiliation_string":"Dept. of Comput. Sci. & Eng., Zhejiang Univ., China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021641125","display_name":"Ping Chen","orcid":"https://orcid.org/0000-0003-0684-9665"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Ping","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Zhejiang, Hangzhou, China","Dept. of Comput. Sci. & Eng., Zhejiang Univ., China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Zhejiang, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]},{"raw_affiliation_string":"Dept. of Comput. Sci. & Eng., Zhejiang Univ., China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5068708887"],"corresponding_institution_ids":["https://openalex.org/I168879160","https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":2.1552,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.88307262,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"1","issue":null,"first_page":"168","last_page":"171"},"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/T13579","display_name":"Image and Video Stabilization","score":0.9837999939918518,"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":0.9751999974250793,"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/scatter-matrix","display_name":"Scatter matrix","score":0.9263847470283508},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.81889808177948},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7283340692520142},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6823980808258057},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5933299660682678},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.564693808555603},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5560113787651062},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5345377922058105},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.5276345610618591},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5173068046569824},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.5096561908721924},{"id":"https://openalex.org/keywords/discriminant","display_name":"Discriminant","score":0.4810902774333954},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.45306122303009033},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4499616324901581},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.41086846590042114},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.39773714542388916},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.26025909185409546},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2360997498035431}],"concepts":[{"id":"https://openalex.org/C176917957","wikidata":"https://www.wikidata.org/wiki/Q7430596","display_name":"Scatter matrix","level":4,"score":0.9263847470283508},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.81889808177948},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7283340692520142},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6823980808258057},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5933299660682678},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.564693808555603},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5560113787651062},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5345377922058105},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.5276345610618591},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5173068046569824},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.5096561908721924},{"id":"https://openalex.org/C78397625","wikidata":"https://www.wikidata.org/wiki/Q192487","display_name":"Discriminant","level":2,"score":0.4810902774333954},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.45306122303009033},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4499616324901581},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.41086846590042114},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.39773714542388916},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.26025909185409546},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2360997498035431},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C180877172","wikidata":"https://www.wikidata.org/wiki/Q5401390","display_name":"Estimation of covariance matrices","level":3,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr.2002.1044639","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2002.1044639","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Object recognition supported by user interaction for service robots","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7400000095367432,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1985809919","https://openalex.org/W2012352340","https://openalex.org/W2088900896","https://openalex.org/W2104316017","https://openalex.org/W2115689562","https://openalex.org/W2121647436","https://openalex.org/W2137611320","https://openalex.org/W2138451337"],"related_works":["https://openalex.org/W2350751952","https://openalex.org/W2362114017","https://openalex.org/W1999647744","https://openalex.org/W3147024994","https://openalex.org/W1978302214","https://openalex.org/W2374055396","https://openalex.org/W2104382484","https://openalex.org/W2379730211","https://openalex.org/W2589829774","https://openalex.org/W1570195136"],"abstract_inverted_index":{"Linear":[0],"discriminant":[1,77],"analysis":[2],"(LDA)":[3],"is":[4],"a":[5,16,38],"feature":[6],"extraction":[7],"technique":[8],"for":[9],"classification.":[10],"In":[11],"this":[12],"paper,":[13],"we":[14],"propose":[15],"new":[17],"LDA-based":[18],"method":[19,106],"that":[20,73],"can":[21,97],"overcome":[22],"the":[23,27,33,43,50,57,62,66,70,75,80,85,89,93,99,113],"drawback":[24],"existed":[25],"in":[26,110],"traditional":[28,114],"LDA":[29,115],"methods.":[30,116],"It":[31],"redefines":[32],"between-class":[34,44,63,95],"scatter":[35,64,72,96],"by":[36],"adding":[37],"weight":[39],"function":[40],"according":[41],"to":[42,48,88],"distance,":[45],"which":[46],"helps":[47],"separate":[49],"classes":[51],"as":[52,54],"much":[53],"possible.":[55],"At":[56],"same":[58],"time,":[59],"it":[60],"projects":[61],"into":[65],"null":[67],"space":[68],"of":[69,92],"within-class":[71],"contains":[74],"most":[76],"information.":[78],"Hence,":[79],"transformation":[81],"matrix":[82],"composed":[83],"with":[84,112],"eigenvectors":[86],"corresponding":[87],"largest":[90],"eigenvalues":[91],"transferred":[94],"maximize":[98],"Fisher":[100],"criteria.":[101],"Experimental":[102],"results":[103],"show":[104],"our":[105],"achieves":[107],"better":[108],"performance":[109],"comparison":[111]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}