{"id":"https://openalex.org/W2293193554","doi":"https://doi.org/10.1109/icip.2015.7351482","title":"A 3D face recognition method using region-based extended local binary pattern","display_name":"A 3D face recognition method using region-based extended local binary pattern","publication_year":2015,"publication_date":"2015-09-01","ids":{"openalex":"https://openalex.org/W2293193554","doi":"https://doi.org/10.1109/icip.2015.7351482","mag":"2293193554"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2015.7351482","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2015.7351482","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5038564297","display_name":"Shi\u2010Wen Lv","orcid":"https://orcid.org/0000-0002-1767-5448"},"institutions":[{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"government","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiwen Lv","raw_affiliation_strings":["Ministry of Education, Key Laboratory of Measurement and Control of CSE","School of Automation, Southeast University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ministry of Education, Key Laboratory of Measurement and Control of CSE","institution_ids":["https://openalex.org/I1327237609"]},{"raw_affiliation_string":"School of Automation, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109138805","display_name":"Feipeng Da","orcid":"https://orcid.org/0000-0001-5475-3145"},"institutions":[{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"government","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feipeng Da","raw_affiliation_strings":["Ministry of Education, Key Laboratory of Measurement and Control of CSE","School of Automation, Southeast University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ministry of Education, Key Laboratory of Measurement and Control of CSE","institution_ids":["https://openalex.org/I1327237609"]},{"raw_affiliation_string":"School of Automation, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084229298","display_name":"Xing Deng","orcid":"https://orcid.org/0000-0001-8577-108X"},"institutions":[{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"government","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xing Deng","raw_affiliation_strings":["Ministry of Education, Key Laboratory of Measurement and Control of CSE","School of Automation, Southeast University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ministry of Education, Key Laboratory of Measurement and Control of CSE","institution_ids":["https://openalex.org/I1327237609"]},{"raw_affiliation_string":"School of Automation, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3635","last_page":"3639"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9882000088691711,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9818000197410583,"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/local-binary-patterns","display_name":"Local binary patterns","score":0.8934545516967773},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.806367039680481},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7874870300292969},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.6987212896347046},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6109824180603027},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.6035375595092773},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5958641767501831},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.5200633406639099},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.48777204751968384},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4022616446018219},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.2659536302089691},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22846651077270508},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2109416425228119}],"concepts":[{"id":"https://openalex.org/C87335442","wikidata":"https://www.wikidata.org/wiki/Q2494345","display_name":"Local binary patterns","level":4,"score":0.8934545516967773},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.806367039680481},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7874870300292969},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.6987212896347046},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6109824180603027},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.6035375595092773},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5958641767501831},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.5200633406639099},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.48777204751968384},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4022616446018219},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.2659536302089691},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22846651077270508},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2109416425228119},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2015.7351482","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2015.7351482","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Image Processing (ICIP)","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":19,"referenced_works":["https://openalex.org/W271152286","https://openalex.org/W1983808739","https://openalex.org/W1994788465","https://openalex.org/W2009712043","https://openalex.org/W2041800626","https://openalex.org/W2049862374","https://openalex.org/W2051688810","https://openalex.org/W2071035657","https://openalex.org/W2096171208","https://openalex.org/W2109647201","https://openalex.org/W2117715370","https://openalex.org/W2129812935","https://openalex.org/W2132310164","https://openalex.org/W2137659841","https://openalex.org/W2158368908","https://openalex.org/W2162411291","https://openalex.org/W2163352848","https://openalex.org/W2166335841","https://openalex.org/W6661236152"],"related_works":["https://openalex.org/W2055219403","https://openalex.org/W2791313072","https://openalex.org/W3166997759","https://openalex.org/W1589677080","https://openalex.org/W1999808563","https://openalex.org/W2770255720","https://openalex.org/W1509533962","https://openalex.org/W1973963881","https://openalex.org/W1580457994","https://openalex.org/W2985118265"],"abstract_inverted_index":{"A":[0],"3D":[1,22],"face":[2],"recognition":[3],"method":[4,93],"using":[5],"region-based":[6],"extended":[7,48],"local":[8],"binary":[9,39],"pattern":[10,46],"(eLBP)":[11],"is":[12,24,55,94],"proposed.":[13],"First,":[14],"the":[15,20,44,60,78,91],"depth":[16],"image":[17],"converted":[18],"from":[19],"preprocessed":[21],"pointclouds":[23],"normalized.":[25],"Then,":[26],"different":[27],"regions":[28],"according":[29],"to":[30],"their":[31],"distortions":[32],"under":[33],"facial":[34],"expressions":[35],"are":[36,72],"extracted":[37],"by":[38,43],"masks":[40],"and":[41,64,75,77,96],"represented":[42],"uniform":[45],"of":[47],"LBP.":[49],"Finally,":[50],"sparse":[51],"representation":[52,69],"classifier":[53,70],"(SRC)":[54],"adopted":[56],"for":[57],"classification":[58],"on":[59,85],"single":[61],"region.":[62],"Feature-level":[63],"score-level":[65],"fusion":[66],"with":[67],"weight-sparse":[68],"(W-SRC)":[71],"also":[73],"tested":[74],"compared,":[76],"latter":[79],"has":[80],"better":[81],"performance.":[82],"The":[83],"experiments":[84],"FRGC":[86],"v2.0":[87],"database":[88],"demonstrate":[89],"that":[90],"proposed":[92],"robust":[95],"efficient.":[97]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":4}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
