{"id":"https://openalex.org/W2901340099","doi":"https://doi.org/10.1109/iisr.2018.8535690","title":"The Research of Single-Sample Face Recognition Based on Wavelet Image Fusion","display_name":"The Research of Single-Sample Face Recognition Based on Wavelet Image Fusion","publication_year":2018,"publication_date":"2018-08-01","ids":{"openalex":"https://openalex.org/W2901340099","doi":"https://doi.org/10.1109/iisr.2018.8535690","mag":"2901340099"},"language":"en","primary_location":{"id":"doi:10.1109/iisr.2018.8535690","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iisr.2018.8535690","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Intelligence and Safety for Robotics (ISR)","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/A5100343540","display_name":"Li Ke","orcid":"https://orcid.org/0000-0003-2159-869X"},"institutions":[{"id":"https://openalex.org/I157507598","display_name":"Shenyang University of Technology","ror":"https://ror.org/00d7f8730","country_code":"CN","type":"education","lineage":["https://openalex.org/I157507598"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Li Ke","raw_affiliation_strings":["Shenyang University of Technology, Institute of Biomedical and Electromagnetic Engineering"],"affiliations":[{"raw_affiliation_string":"Shenyang University of Technology, Institute of Biomedical and Electromagnetic Engineering","institution_ids":["https://openalex.org/I157507598"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007576200","display_name":"Xiangmin Chen","orcid":"https://orcid.org/0000-0003-1289-3216"},"institutions":[{"id":"https://openalex.org/I157507598","display_name":"Shenyang University of Technology","ror":"https://ror.org/00d7f8730","country_code":"CN","type":"education","lineage":["https://openalex.org/I157507598"]},{"id":"https://openalex.org/I4399598377","display_name":"Institute of Science and Technology","ror":"https://ror.org/02wxm3f24","country_code":null,"type":"education","lineage":["https://openalex.org/I155028946","https://openalex.org/I4399598377"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangmin Chen","raw_affiliation_strings":["Shenyang University of Technology, Shenyang institute of science and technology"],"affiliations":[{"raw_affiliation_string":"Shenyang University of Technology, Shenyang institute of science and technology","institution_ids":["https://openalex.org/I157507598","https://openalex.org/I4399598377"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103272016","display_name":"Qiang Du","orcid":"https://orcid.org/0000-0002-1889-9814"},"institutions":[{"id":"https://openalex.org/I157507598","display_name":"Shenyang University of Technology","ror":"https://ror.org/00d7f8730","country_code":"CN","type":"education","lineage":["https://openalex.org/I157507598"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Du","raw_affiliation_strings":["Shenyang University of Technology, Institute of Biomedical and Electromagnetic Engineering"],"affiliations":[{"raw_affiliation_string":"Shenyang University of Technology, Institute of Biomedical and Electromagnetic Engineering","institution_ids":["https://openalex.org/I157507598"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100343540"],"corresponding_institution_ids":["https://openalex.org/I157507598"],"apc_list":null,"apc_paid":null,"fwci":0.2089,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.56638784,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"575","last_page":"578"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.986299991607666,"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":0.986299991607666,"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":0.9168000221252441,"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":0.9132000207901001,"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":0.7802646160125732},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7684015035629272},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.6669117212295532},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5890387296676636},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.5176770687103271},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5165213942527771},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4748518764972687},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.4701896905899048},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.4457653760910034},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.4420434534549713},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.4306914210319519},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4143889248371124}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7802646160125732},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7684015035629272},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.6669117212295532},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5890387296676636},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.5176770687103271},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5165213942527771},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4748518764972687},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.4701896905899048},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.4457653760910034},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.4420434534549713},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.4306914210319519},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4143889248371124},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iisr.2018.8535690","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iisr.2018.8535690","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Intelligence and Safety for Robotics (ISR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1607528696","https://openalex.org/W1867498096","https://openalex.org/W1963504747","https://openalex.org/W1972481333","https://openalex.org/W2038952578","https://openalex.org/W2106309274","https://openalex.org/W2124351082","https://openalex.org/W2125848778","https://openalex.org/W2134254394","https://openalex.org/W2156387284","https://openalex.org/W2314290140","https://openalex.org/W3145298090","https://openalex.org/W3169507310","https://openalex.org/W6698517686"],"related_works":["https://openalex.org/W2077021924","https://openalex.org/W2336272890","https://openalex.org/W4308999381","https://openalex.org/W4312238398","https://openalex.org/W3211418293","https://openalex.org/W4308999963","https://openalex.org/W4312081214","https://openalex.org/W4285815683","https://openalex.org/W2059356388","https://openalex.org/W2909812680"],"abstract_inverted_index":{"As":[0],"an":[1],"important":[2],"part":[3],"of":[4,18,49,62,97,109,167,192,195,215,236],"robot":[5],"and":[6,16,38,100,112,125,142,170,190,201,234,243],"human-computer":[7],"interaction,":[8],"face":[9,23,40,60,73,84,168,179,213],"recognition":[10,24,74,85,169,235],"technology":[11,25],"can":[12],"improve":[13,171],"the":[14,47,72,82,95,105,119,126,135,146,150,165,196,209,212,218,223,232],"service":[15],"security":[17],"robot.":[19],"In":[20],"recent":[21],"years,":[22],"has":[26],"improved":[27],"a":[28],"lot.":[29],"Now":[30],"researchers":[31],"mainly":[32],"pay":[33],"attention":[34],"to":[35,45,57,70,103,115,149,153,162,185],"study":[36,71],"multi-pose":[37],"multi-sample":[39],"recognition,":[41],"but":[42],"it's":[43],"difficult":[44],"get":[46,58],"method":[48],"obtaining":[50],"these":[51,139],"images.":[52,132],"However,":[53],"it":[54,66,93,114,144,156,172],"is":[55,67,220,229],"easy":[56],"single":[59,76],"image":[61,90,101,111,180],"per":[63],"person.":[64],"So,":[65],"very":[68],"significant":[69],"with":[75,239],"training":[77],"sample.":[78],"This":[79],"paper":[80],"introduces":[81],"single-sample":[83],"research":[86],"based":[87,173],"on":[88,174,211],"wavelet":[89,98],"fusion.":[91],"Firstly,":[92],"uses":[94],"methods":[96],"transformation":[99],"fusion":[102],"obtain":[104],"low":[106,120],"frequency":[107,121,128],"information":[108,122,129],"registered":[110],"deposit":[113],"library.":[116],"Then":[117],"fusing":[118],"in":[123,130,226,244],"library":[124],"high":[127],"tested":[131],"By":[133],"computing":[134],"Euclidean":[136],"distances":[137],"between":[138],"two":[140],"images":[141],"take":[143],"as":[145],"input":[147,197],"feature":[148],"nerve":[151,193],"network":[152,161],"classify.":[154],"Also,":[155],"will":[157,181],"use":[158],"BP":[159],"neural":[160,176],"make":[163],"up":[164],"classifier":[166,224],"traditional":[175],"network.":[177],"Single":[178],"be":[182],"designed":[183,205,225],"matched":[184],"every":[186],"face,":[187],"activation":[188],"functions":[189],"nodes":[191],"cells":[194],"layer,":[198],"hidden":[199],"layer":[200,203],"output":[202],"are":[204],"actively.":[206],"Lastly":[207],"through":[208],"experiments":[210],"detection":[214,233],"FERET":[216],"base,":[217],"result":[219],"found":[221],"that":[222],"this":[227],"article":[228],"useful":[230],"for":[231],"human":[237],"faces":[238],"perspective":[240],"angles,":[241],"ornaments":[242],"different":[245],"sizes.":[246]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-25T21:42:39.735039","created_date":"2025-10-10T00:00:00"}
