{"id":"https://openalex.org/W2113226089","doi":"https://doi.org/10.1109/avss.2003.1217901","title":"Recognition and detection of occluded faces by a neural network classifier with recursive data reconstruction","display_name":"Recognition and detection of occluded faces by a neural network classifier with recursive data reconstruction","publication_year":2004,"publication_date":"2004-01-23","ids":{"openalex":"https://openalex.org/W2113226089","doi":"https://doi.org/10.1109/avss.2003.1217901","mag":"2113226089"},"language":"en","primary_location":{"id":"doi:10.1109/avss.2003.1217901","is_oa":false,"landing_page_url":"https://doi.org/10.1109/avss.2003.1217901","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the IEEE Conference on Advanced Video and Signal Based Surveillance, 2003.","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/A5086456461","display_name":"Takio Kurita","orcid":"https://orcid.org/0000-0003-3982-6750"},"institutions":[{"id":"https://openalex.org/I73613424","display_name":"National Institute of Advanced Industrial Science and Technology","ror":"https://ror.org/01703db54","country_code":"JP","type":"government","lineage":["https://openalex.org/I73613424"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"T. Kurita","raw_affiliation_strings":["Neuroscience Research Institute, AIST, Japan","Neurosci Res Inst, AIST, Japan"],"affiliations":[{"raw_affiliation_string":"Neuroscience Research Institute, AIST, Japan","institution_ids":["https://openalex.org/I73613424"]},{"raw_affiliation_string":"Neurosci Res Inst, AIST, Japan","institution_ids":["https://openalex.org/I73613424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083542428","display_name":"Mickael Pic","orcid":null},"institutions":[{"id":"https://openalex.org/I73613424","display_name":"National Institute of Advanced Industrial Science and Technology","ror":"https://ror.org/01703db54","country_code":"JP","type":"government","lineage":["https://openalex.org/I73613424"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"M. Pic","raw_affiliation_strings":["Neuroscience Research Institute, AIST, Japan","Neurosci Res Inst, AIST, Japan"],"affiliations":[{"raw_affiliation_string":"Neuroscience Research Institute, AIST, Japan","institution_ids":["https://openalex.org/I73613424"]},{"raw_affiliation_string":"Neurosci Res Inst, AIST, Japan","institution_ids":["https://openalex.org/I73613424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069942215","display_name":"Takashi Takahashi","orcid":"https://orcid.org/0000-0003-2055-7415"},"institutions":[{"id":"https://openalex.org/I103390050","display_name":"Ryukoku University","ror":"https://ror.org/012tqgb57","country_code":"JP","type":"education","lineage":["https://openalex.org/I103390050"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"T. Takahashi","raw_affiliation_strings":["Ryukoku University, Japan","Ryukoku university;"],"affiliations":[{"raw_affiliation_string":"Ryukoku University, Japan","institution_ids":["https://openalex.org/I103390050"]},{"raw_affiliation_string":"Ryukoku university;","institution_ids":["https://openalex.org/I103390050"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5086456461"],"corresponding_institution_ids":["https://openalex.org/I73613424"],"apc_list":null,"apc_paid":null,"fwci":1.6398,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.85110194,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"53","last_page":"58"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9986000061035156,"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":0.9986000061035156,"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":0.9945999979972839,"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/T10828","display_name":"Biometric Identification and Security","score":0.9684000015258789,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8296319246292114},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7799456119537354},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6773827075958252},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6700552701950073},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6383816599845886},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5910553932189941},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.5730937719345093},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.5721765756607056},{"id":"https://openalex.org/keywords/associative-property","display_name":"Associative property","score":0.5460042357444763},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5354763269424438},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5197343826293945},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.46817630529403687},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13299062848091125}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8296319246292114},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7799456119537354},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6773827075958252},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6700552701950073},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6383816599845886},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5910553932189941},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.5730937719345093},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.5721765756607056},{"id":"https://openalex.org/C159423971","wikidata":"https://www.wikidata.org/wiki/Q177251","display_name":"Associative property","level":2,"score":0.5460042357444763},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5354763269424438},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5197343826293945},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.46817630529403687},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13299062848091125},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/avss.2003.1217901","is_oa":false,"landing_page_url":"https://doi.org/10.1109/avss.2003.1217901","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the IEEE Conference on Advanced Video and Signal Based Surveillance, 2003.","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":16,"referenced_works":["https://openalex.org/W102277558","https://openalex.org/W1528905581","https://openalex.org/W1555711139","https://openalex.org/W1968603670","https://openalex.org/W1991848143","https://openalex.org/W2078626246","https://openalex.org/W2098693229","https://openalex.org/W2104163856","https://openalex.org/W2111231637","https://openalex.org/W2132337154","https://openalex.org/W2489822048","https://openalex.org/W2994340921","https://openalex.org/W3015463134","https://openalex.org/W4210310779","https://openalex.org/W6635552349","https://openalex.org/W6679921960"],"related_works":["https://openalex.org/W2148338580","https://openalex.org/W2336272890","https://openalex.org/W4308999381","https://openalex.org/W3183843611","https://openalex.org/W4312238398","https://openalex.org/W3211418293","https://openalex.org/W4308999963","https://openalex.org/W4312081214","https://openalex.org/W2059356388","https://openalex.org/W325114128"],"abstract_inverted_index":{"The":[0,31,57],"paper":[1],"describes":[2],"how":[3],"to":[4,8,36,48,82],"improve":[5],"the":[6,38,50,54,68,77,89,108,118],"robustness":[7],"occlusions":[9],"in":[10,53],"face":[11,40,45,59,98,102,119],"recognition":[12],"and":[13,47,101],"detection.":[14,103],"We":[15],"propose":[16],"a":[17,28,42],"neural":[18,25],"network":[19,26,33,79],"architecture":[20],"which":[21],"integrates":[22],"an":[23],"auto-associative":[24,32],"into":[27],"simple":[29],"classifier.":[30],"is":[34,80,105,111,121],"employed":[35],"recall":[37],"original":[39,58],"from":[41],"partially":[43],"occluded":[44,51,84],"image":[46,99,120],"detect":[49],"regions":[52,66],"input":[55],"image.":[56],"can":[60],"be":[61],"reconstructed":[62],"by":[63],"replacing":[64],"those":[65],"with":[67],"recalled":[69],"pixels.":[70],"By":[71],"applying":[72],"this":[73,92],"reconstruction":[74],"process":[75],"recursively,":[76],"integrated":[78],"able":[81],"classify":[83],"faces":[85],"robustly.":[86],"To":[87],"confirm":[88],"effectiveness":[90],"of":[91,117],"method,":[93],"we":[94],"performed":[95],"experiments":[96],"on":[97],"classification":[100,109],"It":[104],"shown":[106],"that":[107],"performance":[110],"not":[112],"decreased":[113],"even":[114],"if":[115],"20-30%":[116],"occluded.":[122]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":3},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}