{"id":"https://openalex.org/W2135018890","doi":"https://doi.org/10.1109/emeit.2011.6024071","title":"Face feature extraction based on reduced-dimension matrix of DCT and projection of block covariance matrix","display_name":"Face feature extraction based on reduced-dimension matrix of DCT and projection of block covariance matrix","publication_year":2011,"publication_date":"2011-08-01","ids":{"openalex":"https://openalex.org/W2135018890","doi":"https://doi.org/10.1109/emeit.2011.6024071","mag":"2135018890"},"language":"en","primary_location":{"id":"doi:10.1109/emeit.2011.6024071","is_oa":false,"landing_page_url":"https://doi.org/10.1109/emeit.2011.6024071","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of 2011 International Conference on Electronic & Mechanical Engineering and Information Technology","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/A5110165555","display_name":"Xianghua Hou","orcid":null},"institutions":[{"id":"https://openalex.org/I3018263800","display_name":"Huzhou University","ror":"https://ror.org/04mvpxy20","country_code":"CN","type":"education","lineage":["https://openalex.org/I3018263800"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xianghua Hou","raw_affiliation_strings":["College of Information and Engineering Huzhou Teachers College, Huzhou, Zhejiang, China","College of Information and Engineering, Huzhou Teachers College, Huzhou Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"College of Information and Engineering Huzhou Teachers College, Huzhou, Zhejiang, China","institution_ids":["https://openalex.org/I3018263800"]},{"raw_affiliation_string":"College of Information and Engineering, Huzhou Teachers College, Huzhou Zhejiang, China","institution_ids":["https://openalex.org/I3018263800"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085867312","display_name":"Honghai Liu","orcid":"https://orcid.org/0000-0002-2880-4698"},"institutions":[{"id":"https://openalex.org/I3018263800","display_name":"Huzhou University","ror":"https://ror.org/04mvpxy20","country_code":"CN","type":"education","lineage":["https://openalex.org/I3018263800"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Honghai Liu","raw_affiliation_strings":["College of Information and Engineering Huzhou Teachers College, Huzhou, Zhejiang, China","College of Information and Engineering, Huzhou Teachers College, Huzhou Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"College of Information and Engineering Huzhou Teachers College, Huzhou, Zhejiang, China","institution_ids":["https://openalex.org/I3018263800"]},{"raw_affiliation_string":"College of Information and Engineering, Huzhou Teachers College, Huzhou Zhejiang, China","institution_ids":["https://openalex.org/I3018263800"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5110165555"],"corresponding_institution_ids":["https://openalex.org/I3018263800"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1718806,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"3338","issue":null,"first_page":"4646","last_page":"4648"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9980000257492065,"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":0.9980000257492065,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9836999773979187,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13579","display_name":"Image and Video Stabilization","score":0.9815000295639038,"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":0.7566497325897217},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.7420146465301514},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.657333493232727},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6530004739761353},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.6345828771591187},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6223734617233276},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6082884669303894},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.606719434261322},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.5664452910423279},{"id":"https://openalex.org/keywords/eigenface","display_name":"Eigenface","score":0.5588252544403076},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.5231320261955261},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4978351593017578},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4763524532318115},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.47475960850715637},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.4567476809024811},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.4199870824813843},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3975048363208771},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37590378522872925},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.34453409910202026},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.05625581741333008}],"concepts":[{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.7566497325897217},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.7420146465301514},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.657333493232727},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6530004739761353},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.6345828771591187},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6223734617233276},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6082884669303894},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.606719434261322},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.5664452910423279},{"id":"https://openalex.org/C104906051","wikidata":"https://www.wikidata.org/wiki/Q29695","display_name":"Eigenface","level":4,"score":0.5588252544403076},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.5231320261955261},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4978351593017578},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4763524532318115},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.47475960850715637},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.4567476809024811},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.4199870824813843},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3975048363208771},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37590378522872925},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.34453409910202026},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.05625581741333008},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","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/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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/emeit.2011.6024071","is_oa":false,"landing_page_url":"https://doi.org/10.1109/emeit.2011.6024071","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of 2011 International Conference on Electronic & Mechanical Engineering and Information Technology","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8600000143051147,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1585265904","https://openalex.org/W1986702797","https://openalex.org/W2102544846","https://openalex.org/W2123921160","https://openalex.org/W2159128898","https://openalex.org/W2164598857"],"related_works":["https://openalex.org/W3160911891","https://openalex.org/W2292842372","https://openalex.org/W2779406006","https://openalex.org/W2797230162","https://openalex.org/W4364362336","https://openalex.org/W2000101267","https://openalex.org/W2391937622","https://openalex.org/W2086208164","https://openalex.org/W2340256886","https://openalex.org/W2163155143"],"abstract_inverted_index":{"Feature":[0],"extraction":[1,22],"is":[2,97,107,116],"the":[3,81,88,95,101,110,119],"foundation":[4],"of":[5,19,31,42,57,63,80,90,112,137,151],"face":[6,15,20,32,43,59,91,124],"recognition":[7,158],"and":[8,26,67,77,84,109,140,144],"plays":[9],"a":[10],"very":[11],"important":[12],"role":[13],"in":[14],"recognition.":[16,33],"Different":[17],"method":[18],"feature":[21],"has":[23],"different":[24],"performance":[25],"efficiency":[27],"to":[28,39,127],"later":[29],"steps":[30],"This":[34],"paper":[35],"firstly":[36],"discusses":[37],"how":[38],"reduce":[40],"dimensions":[41],"image":[44],"matrix":[45,56,60,126],"obtained":[46,105],"by":[47],"DCT":[48],"from":[49],"video.":[50],"Then":[51],"we":[52],"can":[53,147,155],"acquire":[54],"covariance":[55,102],"block":[58,125],"which":[61,122],"consist":[62],"low":[64,72,141],"frequency":[65,69,73,86,139,142],"factor":[66,74,143],"high":[68,85,138,157],"factor.":[70],"The":[71,104,130],"retains":[75],"basic":[76],"stability":[78],"features":[79],"same":[82],"individual":[83],"reflects":[87],"details":[89],"contour,":[92],"etc.":[93],"Lastly":[94],"eigenvalue":[96,106,115,146],"acquired":[98],"through":[99],"calculating":[100],"matrix.":[103],"sorted":[108],"projection":[111],"three":[113],"biggest":[114],"taken":[117],"as":[118],"key":[120],"factors":[121],"reflect":[123],"recognize":[128],"face.":[129],"experimental":[131],"results":[132],"demonstrate":[133],"that":[134],"comprehensive":[135],"utilization":[136],"big":[145],"keep":[148],"more":[149],"energy":[150],"image,":[152],"so":[153],"it":[154],"achieve":[156],"efficiency.":[159]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}