{"id":"https://openalex.org/W2061893255","doi":"https://doi.org/10.1016/j.neucom.2013.09.014","title":"Rigid-area orthogonal spectral regression for efficient 3D face recognition","display_name":"Rigid-area orthogonal spectral regression for efficient 3D face recognition","publication_year":2013,"publication_date":"2013-11-07","ids":{"openalex":"https://openalex.org/W2061893255","doi":"https://doi.org/10.1016/j.neucom.2013.09.014","mag":"2061893255"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.neucom.2013.09.014","pdf_url":null,"source":{"id":"https://openalex.org/S45693802","display_name":"Neurocomputing","issn_l":"0925-2312","issn":["0925-2312","1872-8286"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-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/A5089582342","display_name":"Yue Ming","orcid":"https://orcid.org/0000-0001-7105-4207"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yue Ming","raw_affiliation_strings":["Beijing Key Laboratory of Work Safety Intelligent Monitoring, School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, PR China#TAB#"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Work Safety Intelligent Monitoring, School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, PR China#TAB#","institution_ids":["https://openalex.org/I139759216"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5089582342"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":{"value":2470,"currency":"USD","value_usd":2470,"provenance":"doaj"},"apc_paid":null,"fwci":3.47,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":31,"citation_normalized_percentile":{"value":0.900134,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":94},"biblio":{"volume":"129","issue":null,"first_page":"445","last_page":"457"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.999,"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":0.999,"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":0.979,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9658,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness","score":0.6147507},{"id":"https://openalex.org/keywords/orthogonality","display_name":"Orthogonality","score":0.5712395}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6981422},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.64781016},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6147507},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.610003},{"id":"https://openalex.org/C17137986","wikidata":"https://www.wikidata.org/wiki/Q215067","display_name":"Orthogonality","level":2,"score":0.5712395},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.5683407},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5625541},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.55733645},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.5330535},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.48231888},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3684736},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29932556},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10792318},{"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.neucom.2013.09.014","pdf_url":null,"source":{"id":"https://openalex.org/S45693802","display_name":"Neurocomputing","issn_l":"0925-2312","issn":["0925-2312","1872-8286"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.72}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":54,"referenced_works":["https://openalex.org/W115185709","https://openalex.org/W1569265273","https://openalex.org/W1981660604","https://openalex.org/W1981733791","https://openalex.org/W1989702938","https://openalex.org/W1993397735","https://openalex.org/W1995617867","https://openalex.org/W2002552945","https://openalex.org/W2012673871","https://openalex.org/W2014854862","https://openalex.org/W2021348965","https://openalex.org/W2023056405","https://openalex.org/W2024765203","https://openalex.org/W2034785770","https://openalex.org/W2068078373","https://openalex.org/W2087264103","https://openalex.org/W2097251587","https://openalex.org/W2097902475","https://openalex.org/W2103250033","https://openalex.org/W2104294146","https://openalex.org/W2106309519","https://openalex.org/W2107109443","https://openalex.org/W2110375685","https://openalex.org/W2111080752","https://openalex.org/W2116466193","https://openalex.org/W2116888754","https://openalex.org/W2117715370","https://openalex.org/W2121647436","https://openalex.org/W2130105873","https://openalex.org/W2130571344","https://openalex.org/W2132902651","https://openalex.org/W2133343739","https://openalex.org/W2136884564","https://openalex.org/W2137659841","https://openalex.org/W2138451337","https://openalex.org/W2138931357","https://openalex.org/W2140120363","https://openalex.org/W2143542740","https://openalex.org/W2146533878","https://openalex.org/W2147962085","https://openalex.org/W2152226983","https://openalex.org/W2152492602","https://openalex.org/W2156142937","https://openalex.org/W2160126058","https://openalex.org/W2161967063","https://openalex.org/W2163808566","https://openalex.org/W2166335841","https://openalex.org/W2166516899","https://openalex.org/W2166672191","https://openalex.org/W2166743687","https://openalex.org/W2210746670","https://openalex.org/W2294377035","https://openalex.org/W3146657167","https://openalex.org/W4235317066"],"related_works":["https://openalex.org/W2811390910","https://openalex.org/W2380927352","https://openalex.org/W2350891938","https://openalex.org/W2181610043","https://openalex.org/W2160698598","https://openalex.org/W2146076056","https://openalex.org/W2141193014","https://openalex.org/W2134472250","https://openalex.org/W1968332688","https://openalex.org/W1775397219"],"abstract_inverted_index":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2061893255","counts_by_year":[{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":5}],"updated_date":"2024-12-06T03:15:20.803500","created_date":"2016-06-24"}