{"id":"https://openalex.org/W2099073203","doi":"https://doi.org/10.1109/robio.2010.5723501","title":"Efficient robot object recognition technique based on distance Kernel PCA","display_name":"Efficient robot object recognition technique based on distance Kernel PCA","publication_year":2010,"publication_date":"2010-12-01","ids":{"openalex":"https://openalex.org/W2099073203","doi":"https://doi.org/10.1109/robio.2010.5723501","mag":"2099073203"},"language":"en","primary_location":{"id":"doi:10.1109/robio.2010.5723501","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio.2010.5723501","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Robotics and Biomimetics","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/A5100979363","display_name":"Jinfu Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jin-fu Yang","raw_affiliation_strings":["School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China","School of Electronic Information and Control Engineering, Beijing University of Technology, 100124, CHINA"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"School of Electronic Information and Control Engineering, Beijing University of Technology, 100124, CHINA","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031798477","display_name":"Min Song","orcid":null},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Song","raw_affiliation_strings":["School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China","School of Electronic Information and Control Engineering, Beijing University of Technology, 100124, CHINA"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"School of Electronic Information and Control Engineering, Beijing University of Technology, 100124, CHINA","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102897545","display_name":"Mingai Li","orcid":"https://orcid.org/0000-0003-0718-8555"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming-ai Li","raw_affiliation_strings":["School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China","School of Electronic Information and Control Engineering, Beijing University of Technology, 100124, CHINA"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"School of Electronic Information and Control Engineering, Beijing University of Technology, 100124, CHINA","institution_ids":["https://openalex.org/I37796252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100979363"],"corresponding_institution_ids":["https://openalex.org/I37796252"],"apc_list":null,"apc_paid":null,"fwci":0.3187,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.61708339,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"3","issue":null,"first_page":"1212","last_page":"1216"},"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9722999930381775,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9639000296592712,"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":0.8032791614532471},{"id":"https://openalex.org/keywords/kernel-principal-component-analysis","display_name":"Kernel principal component analysis","score":0.7744846343994141},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7215949296951294},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6604741811752319},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6395951509475708},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6155677437782288},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.5987973213195801},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.5479854345321655},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.5414270758628845},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5342613458633423},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.478193998336792},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.46327850222587585},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.44751477241516113},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4364432990550995},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.41782814264297485},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.41228795051574707},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2538503408432007},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.22622090578079224}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8032791614532471},{"id":"https://openalex.org/C182335926","wikidata":"https://www.wikidata.org/wiki/Q17093020","display_name":"Kernel principal component analysis","level":4,"score":0.7744846343994141},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7215949296951294},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6604741811752319},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6395951509475708},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6155677437782288},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.5987973213195801},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.5479854345321655},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.5414270758628845},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5342613458633423},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.478193998336792},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.46327850222587585},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.44751477241516113},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4364432990550995},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.41782814264297485},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.41228795051574707},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2538503408432007},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.22622090578079224},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"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/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"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/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/robio.2010.5723501","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio.2010.5723501","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Robotics and Biomimetics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8100000023841858,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1510073064","https://openalex.org/W1555711139","https://openalex.org/W1969288027","https://openalex.org/W2009184008","https://openalex.org/W2097004253","https://openalex.org/W2098693229","https://openalex.org/W2120337110","https://openalex.org/W2124566234","https://openalex.org/W2133324003","https://openalex.org/W2136405083","https://openalex.org/W2140095548","https://openalex.org/W2150590096","https://openalex.org/W2151103935","https://openalex.org/W2153557925","https://openalex.org/W3023786531","https://openalex.org/W6633489957","https://openalex.org/W6642434384","https://openalex.org/W6678639001"],"related_works":["https://openalex.org/W1984421104","https://openalex.org/W2512565647","https://openalex.org/W2001772920","https://openalex.org/W1983936910","https://openalex.org/W2393746448","https://openalex.org/W2905418897","https://openalex.org/W1985034083","https://openalex.org/W2534878021","https://openalex.org/W3093470103","https://openalex.org/W2398887903"],"abstract_inverted_index":{"Feature":[0],"extraction":[1,22],"is":[2,14,26,62,71],"the":[3,17,76,80,85,94,120,127],"key":[4],"issue":[5],"in":[6,93,132],"a":[7,65,98],"recognition":[8,54,137],"system.":[9],"Principal":[10],"Component":[11],"Analysis":[12],"(PCA)":[13],"one":[15],"of":[16],"most":[18],"widely":[19],"used":[20,103],"feature":[21,82],"algorithms.":[23],"But":[24],"it":[25],"inadequate":[27],"for":[28,104],"this":[29,49],"linear":[30],"method":[31,55],"to":[32,73],"describe":[33],"real":[34],"images":[35],"which":[36],"contain":[37],"complex":[38],"nonlinear":[39],"variations,":[40],"such":[41],"as":[42],"illumination,":[43],"distortion":[44],"and":[45,84,97,113,139],"so":[46],"on.":[47],"In":[48],"paper,":[50],"an":[51],"efficient":[52],"object":[53,115,134],"based":[56],"on":[57,108],"distance":[58,69,128],"Kernel":[59],"PCA":[60,90,131],"(KPCA)":[61],"proposed.":[63],"First,":[64],"new":[66],"kernel":[67,70,129],"called":[68],"presented":[72],"set":[74],"up":[75],"corresponding":[77],"relation":[78],"between":[79],"higher-dimensional":[81,95],"space":[83,96],"original":[86],"input":[87],"space.":[88],"Then,":[89],"was":[91,102],"performed":[92],"nearest":[99],"neighbor":[100],"strategy":[101],"decision-making.":[105],"The":[106],"experiments":[107],"both":[109],"ORL":[110],"face":[111],"database":[112],"general":[114],"image":[116],"dataset":[117],"collected":[118],"by":[119],"robot":[121,133],"camera":[122],"illustrate":[123],"that":[124],"KPCA":[125],"with":[126],"outperforms":[130],"recognition:":[135],"higher":[136],"accuracy":[138],"less":[140],"computing":[141],"time.":[142]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}