{"id":"https://openalex.org/W2229620910","doi":"https://doi.org/10.1155/2016/5491341","title":"Facial Feature Extraction Using Frequency Map Series in PCNN","display_name":"Facial Feature Extraction Using Frequency Map Series in PCNN","publication_year":2015,"publication_date":"2015-11-22","ids":{"openalex":"https://openalex.org/W2229620910","doi":"https://doi.org/10.1155/2016/5491341","mag":"2229620910"},"language":"en","primary_location":{"id":"doi:10.1155/2016/5491341","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2016/5491341","pdf_url":"http://downloads.hindawi.com/journals/js/2016/5491341.pdf","source":{"id":"https://openalex.org/S96783963","display_name":"Journal of Sensors","issn_l":"1687-725X","issn":["1687-725X","1687-7268"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"http://downloads.hindawi.com/journals/js/2016/5491341.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080341760","display_name":"Rencan Nie","orcid":"https://orcid.org/0000-0003-0568-1231"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rencan Nie","raw_affiliation_strings":["College of Information, Yunnan University, Kunming 650091, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information, Yunnan University, Kunming 650091, China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069672411","display_name":"Dongming Zhou","orcid":"https://orcid.org/0000-0003-0139-9415"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dongming Zhou","raw_affiliation_strings":["College of Information, Yunnan University, Kunming 650091, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information, Yunnan University, Kunming 650091, China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103028968","display_name":"Min He","orcid":null},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min He","raw_affiliation_strings":["College of Information, Yunnan University, Kunming 650091, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information, Yunnan University, Kunming 650091, China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100641350","display_name":"Xin Jin","orcid":"https://orcid.org/0000-0003-2211-2006"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Jin","raw_affiliation_strings":["College of Information, Yunnan University, Kunming 650091, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information, Yunnan University, Kunming 650091, China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112018333","display_name":"Jiefu Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiefu Yu","raw_affiliation_strings":["College of Information, Yunnan University, Kunming 650091, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information, Yunnan University, Kunming 650091, China","institution_ids":["https://openalex.org/I189210763"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5069672411"],"corresponding_institution_ids":["https://openalex.org/I189210763"],"apc_list":{"value":2100,"currency":"USD","value_usd":2100},"apc_paid":{"value":2100,"currency":"USD","value_usd":2100},"fwci":3.1266,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.92575188,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"2016","issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9825999736785889,"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"}},"topics":[{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9825999736785889,"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/T10320","display_name":"Neural Networks and Applications","score":0.9796000123023987,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10057","display_name":"Face and Expression Recognition","score":0.9758999943733215,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7433598041534424},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6698020100593567},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6013176441192627},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5770906805992126},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.5558447241783142},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5279815793037415},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.46859994530677795},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.4431852400302887},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.4342518448829651},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.4194566011428833},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4162517488002777},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3526429533958435},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2972033619880676}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7433598041534424},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6698020100593567},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6013176441192627},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5770906805992126},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.5558447241783142},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5279815793037415},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.46859994530677795},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.4431852400302887},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.4342518448829651},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4194566011428833},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4162517488002777},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3526429533958435},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2972033619880676},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"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/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1155/2016/5491341","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2016/5491341","pdf_url":"http://downloads.hindawi.com/journals/js/2016/5491341.pdf","source":{"id":"https://openalex.org/S96783963","display_name":"Journal of Sensors","issn_l":"1687-725X","issn":["1687-725X","1687-7268"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Sensors","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1155/2016/5491341","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2016/5491341","pdf_url":"http://downloads.hindawi.com/journals/js/2016/5491341.pdf","source":{"id":"https://openalex.org/S96783963","display_name":"Journal of Sensors","issn_l":"1687-725X","issn":["1687-725X","1687-7268"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1708716553","display_name":null,"funder_award_id":"2012FD003","funder_id":"https://openalex.org/F4320323193","funder_display_name":"Natural Science Foundation of Yunnan Province"},{"id":"https://openalex.org/G2031804418","display_name":null,"funder_award_id":"2014AB016","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3001437246","display_name":null,"funder_award_id":"61365001","funder_id":"https://openalex.org/F4320323193","funder_display_name":"Natural Science Foundation of Yunnan Province"},{"id":"https://openalex.org/G3490909567","display_name":null,"funder_award_id":"61463052","funder_id":"https://openalex.org/F4320323193","funder_display_name":"Natural Science Foundation of Yunnan Province"},{"id":"https://openalex.org/G3906319375","display_name":null,"funder_award_id":"2012FD003","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4828986780","display_name":"\u89c6\u89c9\u76ae\u5c42\u795e\u7ecf\u5143\u8109\u51b2\u540c\u6b65\u632f\u8361\u4fe1\u606f\u7684\u56fe\u50cf\u878d\u5408\u6280\u672f\u7814\u7a76","funder_award_id":"61365001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7032097175","display_name":"\u89c6\u611f\u77e5\u6a21\u578b\u8109\u51b2\u8026\u5408\u795e\u7ecf\u7f51\u7edc\u7684\u56fe\u50cf\u7279\u5f81\u63d0\u53d6\u53ca\u5e94\u7528\u7814\u7a76","funder_award_id":"61463052","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7156965600","display_name":null,"funder_award_id":"2014AB016","funder_id":"https://openalex.org/F4320323193","funder_display_name":"Natural Science Foundation of Yunnan Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323193","display_name":"Natural Science Foundation of Yunnan Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2229620910.pdf","grobid_xml":"https://content.openalex.org/works/W2229620910.grobid-xml"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W1915761023","https://openalex.org/W1963600662","https://openalex.org/W1965489258","https://openalex.org/W1976700914","https://openalex.org/W1987969328","https://openalex.org/W1993331716","https://openalex.org/W1994094966","https://openalex.org/W2037730376","https://openalex.org/W2043364632","https://openalex.org/W2052843381","https://openalex.org/W2058173203","https://openalex.org/W2059350002","https://openalex.org/W2064562647","https://openalex.org/W2087722654","https://openalex.org/W2094618681","https://openalex.org/W2349795919","https://openalex.org/W2385785213","https://openalex.org/W3097096317","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W1993278628","https://openalex.org/W2115336194","https://openalex.org/W2389652943","https://openalex.org/W2994763304","https://openalex.org/W2090152127","https://openalex.org/W2348550256","https://openalex.org/W2908582041","https://openalex.org/W2043960970","https://openalex.org/W4231537015","https://openalex.org/W2137791473"],"abstract_inverted_index":{"Pulse":[0],"coupled":[1],"neural":[2],"network":[3],"(PCNN)":[4],"has":[5,144],"been":[6],"widely":[7],"used":[8,171],"in":[9,65,93,118,132,185],"image":[10,23],"processing.":[11],"The":[12],"3D":[13,135],"binary":[14,63,119],"map":[15,105,131],"series":[16,45,106],"(BMS)":[17],"generated":[18],"by":[19,124,162],"PCNN":[20],"effectively":[21],"describes":[22],"feature":[24,82,116,196],"information":[25,157],"such":[26],"as":[27,37],"edges":[28],"and":[29,67,108,152,188],"regional":[30],"distribution,":[31],"so":[32],"BMS":[33,55,66,102],"can":[34],"be":[35],"treated":[36],"the":[38,51,59,62,68,89,109,112,126,134,149,154,159,164,166,174,181],"basis":[39],"of":[40,61,114,158,183],"extracting":[41],"1D":[42,140],"oscillation":[43],"time":[44],"(OTS)":[46],"for":[47,71,77,129,148,176],"an":[48],"image.":[49,160],"However,":[50],"traditional":[52],"methods":[53],"using":[54],"did":[56],"not":[57],"consider":[58,88],"correlation":[60,90],"sequence":[64],"space":[69,155],"structure":[70,156],"every":[72,130],"map.":[73],"By":[74],"further":[75],"processing":[76],"BMS,":[78],"a":[79,95],"novel":[80],"facial":[81,150,186],"extraction":[83,197],"method":[84,96,110],"is":[85,97,137,170],"proposed.":[86],"Firstly,":[87],"among":[91],"maps":[92],"BMS;":[94],"put":[98],"forward":[99],"to":[100,172],"transform":[101],"into":[103,139],"frequency":[104],"(FMS),":[107],"lessens":[111],"influence":[113],"noncontinuous":[115],"regions":[117],"images":[120],"on":[121],"OTS-BMS.":[122],"Then,":[123],"computing":[125],"2D":[127],"entropy":[128],"FMS,":[133],"FMS":[136],"transformed":[138],"OTS":[141],"(OTS-FMS),":[142],"which":[143],"good":[145],"geometry":[146],"invariance":[147],"image,":[151],"contains":[153],"Finally,":[161],"analyzing":[163],"OTS-FMS,":[165],"standard":[167],"Euclidean":[168],"distance":[169],"measure":[173],"distances":[175],"OTS-FMS.":[177],"Experimental":[178],"results":[179],"verify":[180],"effectiveness":[182],"OTS-FMS":[184],"recognition,":[187],"it":[189],"shows":[190],"better":[191],"recognition":[192],"performance":[193],"than":[194],"other":[195],"methods.":[198]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":5}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}