{"id":"https://openalex.org/W2068383726","doi":"https://doi.org/10.1109/tifs.2014.2362299","title":"A 3D-Based Pose Invariant Face Recognition at a Distance Framework","display_name":"A 3D-Based Pose Invariant Face Recognition at a Distance Framework","publication_year":2014,"publication_date":"2014-10-08","ids":{"openalex":"https://openalex.org/W2068383726","doi":"https://doi.org/10.1109/tifs.2014.2362299","mag":"2068383726"},"language":"en","primary_location":{"id":"doi:10.1109/tifs.2014.2362299","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2014.2362299","pdf_url":null,"source":{"id":"https://openalex.org/S61310614","display_name":"IEEE Transactions on Information Forensics and Security","issn_l":"1556-6013","issn":["1556-6013","1556-6021"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Information Forensics and Security","raw_type":"journal-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/A5108167435","display_name":"Asem Ali","orcid":"https://orcid.org/0000-0002-0503-4838"},"institutions":[{"id":"https://openalex.org/I91041137","display_name":"Assiut University","ror":"https://ror.org/01jaj8n65","country_code":"EG","type":"education","lineage":["https://openalex.org/I91041137"]}],"countries":["EG"],"is_corresponding":true,"raw_author_name":"Asem M. Ali","raw_affiliation_strings":["Department of Electrical Engineering, Assiut University, Asyut, Egypt"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Assiut University, Asyut, Egypt","institution_ids":["https://openalex.org/I91041137"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5108167435"],"corresponding_institution_ids":["https://openalex.org/I91041137"],"apc_list":null,"apc_paid":null,"fwci":2.9265,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.93070676,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"9","issue":"12","first_page":"2158","last_page":"2169"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9998000264167786,"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/T11448","display_name":"Face recognition and analysis","score":0.9998000264167786,"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/T10057","display_name":"Face and Expression Recognition","score":0.9984999895095825,"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":0.9961000084877014,"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/computer-science","display_name":"Computer science","score":0.7360941171646118},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.6629846096038818},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6405029892921448},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5991266965866089},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.5936221480369568},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48108288645744324},{"id":"https://openalex.org/keywords/three-dimensional-face-recognition","display_name":"Three-dimensional face recognition","score":0.47263023257255554},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.4125068187713623},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.30626845359802246},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16898828744888306}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7360941171646118},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.6629846096038818},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6405029892921448},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5991266965866089},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.5936221480369568},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48108288645744324},{"id":"https://openalex.org/C88799230","wikidata":"https://www.wikidata.org/wiki/Q3398329","display_name":"Three-dimensional face recognition","level":5,"score":0.47263023257255554},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.4125068187713623},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.30626845359802246},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16898828744888306},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","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/tifs.2014.2362299","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2014.2362299","pdf_url":null,"source":{"id":"https://openalex.org/S61310614","display_name":"IEEE Transactions on Information Forensics and Security","issn_l":"1556-6013","issn":["1556-6013","1556-6021"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Information Forensics and Security","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4699999988079071,"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":68,"referenced_works":["https://openalex.org/W48754121","https://openalex.org/W62997892","https://openalex.org/W1487937081","https://openalex.org/W1491719799","https://openalex.org/W1511287147","https://openalex.org/W1578309724","https://openalex.org/W1781337833","https://openalex.org/W1821881293","https://openalex.org/W1975647954","https://openalex.org/W1975780119","https://openalex.org/W1976948919","https://openalex.org/W1980216075","https://openalex.org/W1998808035","https://openalex.org/W2015039356","https://openalex.org/W2032558548","https://openalex.org/W2044701250","https://openalex.org/W2047508432","https://openalex.org/W2056372741","https://openalex.org/W2070216603","https://openalex.org/W2072243466","https://openalex.org/W2078118580","https://openalex.org/W2078775693","https://openalex.org/W2080961759","https://openalex.org/W2082020538","https://openalex.org/W2082045173","https://openalex.org/W2082149009","https://openalex.org/W2085790719","https://openalex.org/W2090767496","https://openalex.org/W2097437748","https://openalex.org/W2101983484","https://openalex.org/W2114588272","https://openalex.org/W2116277445","https://openalex.org/W2117072267","https://openalex.org/W2117228865","https://openalex.org/W2119664956","https://openalex.org/W2121027212","https://openalex.org/W2121647436","https://openalex.org/W2127182692","https://openalex.org/W2127317074","https://openalex.org/W2130177765","https://openalex.org/W2134053173","https://openalex.org/W2139332436","https://openalex.org/W2145287260","https://openalex.org/W2145310492","https://openalex.org/W2152826865","https://openalex.org/W2154211011","https://openalex.org/W2157577964","https://openalex.org/W2158396493","https://openalex.org/W2159786793","https://openalex.org/W2160126058","https://openalex.org/W2163808566","https://openalex.org/W2167253260","https://openalex.org/W2167327733","https://openalex.org/W2167955297","https://openalex.org/W2169805580","https://openalex.org/W2171193910","https://openalex.org/W2177274842","https://openalex.org/W2544981553","https://openalex.org/W3097096317","https://openalex.org/W6602553821","https://openalex.org/W6629564929","https://openalex.org/W6630685911","https://openalex.org/W6638137768","https://openalex.org/W6638668626","https://openalex.org/W6662335928","https://openalex.org/W6677495702","https://openalex.org/W6679144564","https://openalex.org/W6684649538"],"related_works":["https://openalex.org/W2607108626","https://openalex.org/W2003685048","https://openalex.org/W2532573070","https://openalex.org/W1989039360","https://openalex.org/W2146295394","https://openalex.org/W1560697087","https://openalex.org/W269042006","https://openalex.org/W2378532131","https://openalex.org/W2101773345","https://openalex.org/W1548715306"],"abstract_inverted_index":{"Face":[0],"recognition":[1,219,235],"in":[2,137,146],"the":[3,19,38,43,74,94,99,193,208,214,218,243],"wild":[4],"can":[5],"be":[6],"defined":[7],"as":[8],"recognizing":[9,29],"individuals":[10],"unabated":[11],"by":[12,35,63,71,170],"pose,":[13],"illumination,":[14],"expression,":[15],"and":[16,61,108,123,227],"uncertainties":[17,34],"from":[18,154,180,204],"image":[20,59,189],"acquisition.":[21],"In":[22],"this":[23,187],"paper,":[24],"we":[25,206],"propose":[26],"a":[27,83,103,152,155,175,237],"framework":[28,216],"human":[30],"faces":[31],"under":[32,161],"such":[33],"focusing":[36],"on":[37,200,217],"pose":[39],"problem":[40],"while":[41],"considering":[42],"other":[44],"factors":[45],"together.":[46],"The":[47,113,126,221],"proposed":[48,114,215,233],"work":[49],"introduces":[50],"an":[51,67,147],"automatic":[52,229],"front-end":[53],"stereo-based":[54],"system,":[55],"which":[56,158],"starts":[57,169],"with":[58,228],"acquisition":[60],"ends":[62],"face":[64,110,153,234],"recognition.":[65],"Once":[66],"individual":[68],"is":[69,106,111,130,159,178,190],"detected":[70],"one":[72],"of":[73,210,213,242],"stereo":[75,104,115],"cameras,":[76],"its":[77],"facial":[78,84,171,176,184],"features":[79,85,89,172,230],"are":[80,90,143,198],"identified":[81],"using":[82],"extraction":[86],"model.":[87],"These":[88],"used":[91,131],"to":[92,97,132],"steer":[93],"second":[95],"camera":[96],"see":[98],"same":[100],"subject.":[101],"Then,":[102,174],"pair":[105],"captured":[107,160],"3D":[109,128],"reconstructed.":[112],"matching":[116],"approach":[117,239],"carefully":[118],"handles":[119],"illumination":[120],"variance,":[121],"occlusion,":[122],"disparity":[124],"discontinuity.":[125],"reconstructed":[127],"shape":[129],"synthesize":[133],"virtual":[134],"2D":[135,156],"views":[136],"novel":[138],"poses.":[139],"All":[140],"these":[141,183],"steps":[142],"done":[144],"off-line":[145],"Enrollment":[148],"stage.":[149],"To":[150],"recognize":[151],"image,":[157],"unknown":[162],"environmental":[163],"conditions,":[164],"another":[165],"fast":[166],"on-line":[167],"stage":[168],"detection.":[173],"signature":[177],"extracted":[179],"patches":[181],"around":[182],"features.":[185],"Finally,":[186],"probe":[188],"matched":[191],"against":[192],"closest":[194],"synthesized":[195],"images.":[196],"Experiments":[197],"conducted":[199],"different":[201],"public":[202],"databases":[203],"where":[205],"investigate":[207],"effect":[209],"each":[211],"component":[212],"performance.":[220],"results":[222],"confirm":[223],"that":[224],"without":[225],"training":[226],"extraction,":[231],"our":[232],"at":[236],"distance":[238],"outperforms":[240],"most":[241],"state-of-the-art":[244],"approaches.":[245]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
