{"id":"https://openalex.org/W3194470721","doi":"https://doi.org/10.1109/icip42928.2021.9506052","title":"A Tilt-Angle Face Dataset And Its Validation","display_name":"A Tilt-Angle Face Dataset And Its Validation","publication_year":2021,"publication_date":"2021-08-23","ids":{"openalex":"https://openalex.org/W3194470721","doi":"https://doi.org/10.1109/icip42928.2021.9506052","mag":"3194470721"},"language":"en","primary_location":{"id":"doi:10.1109/icip42928.2021.9506052","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip42928.2021.9506052","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Image Processing (ICIP)","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/A5026383647","display_name":"Nanxi Wang","orcid":"https://orcid.org/0000-0003-2037-9559"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nanxi Wang","raw_affiliation_strings":["Wuhan University,School of Computer Science,Wuhan,China,430072"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan University,School of Computer Science,Wuhan,China,430072","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100741750","display_name":"Zhongyuan Wang","orcid":"https://orcid.org/0000-0002-9796-488X"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongyuan Wang","raw_affiliation_strings":["Wuhan University,School of Computer Science,Wuhan,China,430072"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan University,School of Computer Science,Wuhan,China,430072","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034648573","display_name":"Zheng He","orcid":"https://orcid.org/0000-0002-7700-0901"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheng He","raw_affiliation_strings":["Wuhan University,School of Computer Science,Wuhan,China,430072"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan University,School of Computer Science,Wuhan,China,430072","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038724255","display_name":"Baojin Huang","orcid":"https://orcid.org/0000-0002-4882-5787"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baojin Huang","raw_affiliation_strings":["Wuhan University,School of Computer Science,Wuhan,China,430072"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan University,School of Computer Science,Wuhan,China,430072","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102787443","display_name":"Liguo Zhou","orcid":"https://orcid.org/0000-0003-2767-2598"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Liguo Zhou","raw_affiliation_strings":["Technical University of Munich,Department of Informatics,Munich,Germany,85748"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University of Munich,Department of Informatics,Munich,Germany,85748","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027802291","display_name":"Zhen Han","orcid":"https://orcid.org/0000-0002-1862-4781"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Han","raw_affiliation_strings":["Wuhan University,School of Computer Science,Wuhan,China,430072"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan University,School of Computer Science,Wuhan,China,430072","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4851,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.65147336,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"894","last_page":"898"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9980999827384949,"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"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9951000213623047,"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":0.8003697991371155},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7638583183288574},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.7299044132232666},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.6546366810798645},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.6487215161323547},{"id":"https://openalex.org/keywords/tilt","display_name":"Tilt (camera)","score":0.5931442379951477},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5926990509033203},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.5084332823753357},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.4249190092086792},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4117484986782074},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07968750596046448}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8003697991371155},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7638583183288574},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.7299044132232666},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.6546366810798645},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.6487215161323547},{"id":"https://openalex.org/C2779844322","wikidata":"https://www.wikidata.org/wiki/Q2919140","display_name":"Tilt (camera)","level":2,"score":0.5931442379951477},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5926990509033203},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.5084332823753357},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.4249190092086792},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4117484986782074},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07968750596046448},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip42928.2021.9506052","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip42928.2021.9506052","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.46000000834465027,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1963533745","https://openalex.org/W2033419168","https://openalex.org/W2096027770","https://openalex.org/W2096733369","https://openalex.org/W2193145675","https://openalex.org/W2296659146","https://openalex.org/W2640290991","https://openalex.org/W2737047298","https://openalex.org/W2769905613","https://openalex.org/W2885291434","https://openalex.org/W2889800473","https://openalex.org/W2904835235","https://openalex.org/W2961882198","https://openalex.org/W2962898354","https://openalex.org/W2963566548","https://openalex.org/W2964095005","https://openalex.org/W2969985801","https://openalex.org/W2996544626","https://openalex.org/W3106250896","https://openalex.org/W4226190074","https://openalex.org/W6810689998"],"related_works":["https://openalex.org/W2336272890","https://openalex.org/W4308999381","https://openalex.org/W4312238398","https://openalex.org/W3211418293","https://openalex.org/W4308999963","https://openalex.org/W4312081214","https://openalex.org/W4285815683","https://openalex.org/W325114128","https://openalex.org/W1552490587","https://openalex.org/W3035701170"],"abstract_inverted_index":{"Since":[0],"the":[1,22,46,59,62,67,72,88,135,140,143,156,175,182],"surveillance":[2,25,48],"cameras":[3],"are":[4,19],"usually":[5],"mounted":[6],"at":[7,188],"a":[8,42,104,129],"high":[9],"position":[10],"to":[11],"overlook":[12],"targets,":[13],"tilt-angle":[14,106],"faces":[15],"on":[16,31,58,66,134],"overhead":[17,117,136],"view":[18],"common":[20],"in":[21],"public":[23],"video":[24],"environment.":[26],"Face":[27],"recognition":[28,54,153,179],"approaches":[29],"based":[30],"deep":[32],"learning":[33],"models":[34,89,158],"have":[35],"achieved":[36],"excellent":[37],"performance,":[38],"but":[39,64],"there":[40],"remains":[41],"large":[43],"gap":[44],"for":[45],"overlooking":[47],"scenarios.":[49],"The":[50,75],"results":[51,168],"of":[52,61,71,131,142],"face":[53,78,85,107,123,150,176],"depend":[55],"not":[56,81],"only":[57],"structure":[60],"model,":[63],"also":[65],"completeness":[68],"and":[69,87,152,163,178],"diversity":[70],"training":[73],"samples.":[74],"existing":[76],"multi-pose":[77],"datasets":[79],"do":[80],"cover":[82],"complete":[83],"top-view":[84,183],"samples,":[86],"trained":[90,159],"by":[91,160],"them":[92],"thus":[93],"cannot":[94],"provide":[95],"satisfactory":[96],"accuracy.":[97],"To":[98,138],"this":[99,101],"end,":[100],"paper":[102],"pioneers":[103],"multi-view":[105],"dataset":[108],"(TFD),":[109],"which":[110],"is":[111,186],"collected":[112],"with":[113],"an":[114],"elaborately":[115],"devised":[116],"capture":[118],"equipment.":[119],"TFD":[120,172,185],"contains":[121],"11,124":[122],"images":[124],"from":[125],"927":[126],"subjects,":[127],"covering":[128],"variety":[130],"tilt":[132],"angles":[133],"view.":[137],"verify":[139],"validity":[141],"constructed":[144],"dataset,":[145],"we":[146],"further":[147],"conduct":[148],"comprehensive":[149],"detection":[151,177],"experiments":[154],"using":[155],"corresponding":[157],"WiderFace,":[161],"Webface":[162],"our":[164,171],"TFD,":[165],"respectively.":[166],"Experimental":[167],"show":[169],"that":[170],"substantially":[173],"promotes":[174],"accuracy":[180],"under":[181],"situation.":[184],"available":[187],"https://github.com/huang1204510135/D":[189],"FD.":[190]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
