{"id":"https://openalex.org/W2173079391","doi":"https://doi.org/10.1109/iccais.2015.7338646","title":"Dynamically optimizing face recognition using PCA","display_name":"Dynamically optimizing face recognition using PCA","publication_year":2015,"publication_date":"2015-10-01","ids":{"openalex":"https://openalex.org/W2173079391","doi":"https://doi.org/10.1109/iccais.2015.7338646","mag":"2173079391"},"language":"en","primary_location":{"id":"doi:10.1109/iccais.2015.7338646","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccais.2015.7338646","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Control, Automation and Information Sciences (ICCAIS)","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/A5100775727","display_name":"Zhihong Zhao","orcid":"https://orcid.org/0000-0002-4226-4915"},"institutions":[{"id":"https://openalex.org/I4210101451","display_name":"Nanjing Institute of Industry Technology","ror":"https://ror.org/00qf07q44","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210101451"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhihong Zhao","raw_affiliation_strings":["Electronic and automation department, Nanjing Institute of Industry Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Electronic and automation department, Nanjing Institute of Industry Technology, Nanjing, China","institution_ids":["https://openalex.org/I4210101451"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100423738","display_name":"Beibei Li","orcid":"https://orcid.org/0000-0002-9448-483X"},"institutions":[{"id":"https://openalex.org/I135905480","display_name":"Shanghai Polytechnic University","ror":"https://ror.org/02as5yg64","country_code":"CN","type":"education","lineage":["https://openalex.org/I135905480"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Beibei Li","raw_affiliation_strings":["School of electronics & electronical engineering, Shanghai Second Polytechnic University, Shanghai City, China"],"affiliations":[{"raw_affiliation_string":"School of electronics & electronical engineering, Shanghai Second Polytechnic University, Shanghai City, China","institution_ids":["https://openalex.org/I135905480"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100775727"],"corresponding_institution_ids":["https://openalex.org/I4210101451"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.08956149,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"25","issue":null,"first_page":"123","last_page":"127"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9998000264167786,"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":0.9998000264167786,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9968000054359436,"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/T13579","display_name":"Image and Video Stabilization","score":0.987500011920929,"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/facial-recognition-system","display_name":"Facial recognition system","score":0.8238178491592407},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.7025238871574402},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6755940318107605},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.6740458607673645},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6650866866111755},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.641085147857666},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6269656419754028},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.5981295108795166},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3443952202796936},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.20925942063331604}],"concepts":[{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.8238178491592407},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.7025238871574402},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6755940318107605},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.6740458607673645},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6650866866111755},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.641085147857666},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6269656419754028},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.5981295108795166},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3443952202796936},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.20925942063331604},{"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/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccais.2015.7338646","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccais.2015.7338646","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Control, Automation and Information Sciences (ICCAIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5400000214576721,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1971784203","https://openalex.org/W1981358793","https://openalex.org/W1989702938","https://openalex.org/W1999533590","https://openalex.org/W2028420691","https://openalex.org/W2043694524","https://openalex.org/W2068358834","https://openalex.org/W2088900896","https://openalex.org/W2098693229","https://openalex.org/W2102544846","https://openalex.org/W2113521232","https://openalex.org/W2120954940","https://openalex.org/W2130259898","https://openalex.org/W2135346934","https://openalex.org/W2138451337","https://openalex.org/W2147478239","https://openalex.org/W2180187800","https://openalex.org/W2319660501","https://openalex.org/W6679986405","https://openalex.org/W6820891030"],"related_works":["https://openalex.org/W1916685473","https://openalex.org/W2055682261","https://openalex.org/W1993363272","https://openalex.org/W2186390138","https://openalex.org/W2060035984","https://openalex.org/W2790129917","https://openalex.org/W2000169474","https://openalex.org/W1972373683","https://openalex.org/W2388958958","https://openalex.org/W2384651879"],"abstract_inverted_index":{"A":[0],"dynamically":[1],"optimizing":[2],"PCA":[3,74],"method":[4,61],"for":[5],"face":[6,22],"recognition":[7,50],"is":[8,12,43],"presented.":[9],"Firstly,":[10],"DCT":[11],"adopted,":[13],"and":[14,32,34,47,51],"their":[15,37],"mean":[16],"gray":[17],"values":[18],"are":[19,24],"obtained.":[20],"The":[21,56],"images":[23],"grouped":[25],"into":[26],"three":[27],"sorted":[28],"groups:":[29],"Large,":[30],"Medium":[31],"Small,":[33],"then":[35],"calculate":[36],"means.":[38],"Then,":[39],"the":[40,72],"Eigenvalue":[41],"number":[42,68],"chosen":[44],"as":[45],"9":[46],"10.":[48],"Finally,":[49],"reconstruction":[52],"may":[53],"be":[54],"accomplished.":[55],"results":[57,64],"show":[58],"that":[59],"this":[60],"achieved":[62],"better":[63],"compared":[65],"to":[66],"a":[67],"of":[69,71],"state":[70],"art":[73],"variants.":[75]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}