{"id":"https://openalex.org/W2895871011","doi":"https://doi.org/10.1109/icpr.2018.8546159","title":"Show me your face and I will tell you your height, weight and body mass index","display_name":"Show me your face and I will tell you your height, weight and body mass index","publication_year":2018,"publication_date":"2018-08-01","ids":{"openalex":"https://openalex.org/W2895871011","doi":"https://doi.org/10.1109/icpr.2018.8546159","mag":"2895871011"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2018.8546159","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2018.8546159","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 24th International Conference on Pattern Recognition (ICPR)","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/A5084047603","display_name":"Antitza Dantcheva","orcid":"https://orcid.org/0000-0003-0107-7029"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en informatique et en automatique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Antitza Dantcheva","raw_affiliation_strings":["INRIA, France"],"affiliations":[{"raw_affiliation_string":"INRIA, France","institution_ids":["https://openalex.org/I1326498283"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037298642","display_name":"Fran\u00e7ois Br\u00e9mond","orcid":"https://orcid.org/0000-0003-2988-2142"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en informatique et en automatique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Francois Bremond","raw_affiliation_strings":["INRIA, France"],"affiliations":[{"raw_affiliation_string":"INRIA, France","institution_ids":["https://openalex.org/I1326498283"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060480943","display_name":"Piotr Bili\u0144ski","orcid":"https://orcid.org/0000-0002-7023-3438"},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Piotr Bilinski","raw_affiliation_strings":["University of Oxford, United Kingdom"],"affiliations":[{"raw_affiliation_string":"University of Oxford, United Kingdom","institution_ids":["https://openalex.org/I40120149"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5084047603"],"corresponding_institution_ids":["https://openalex.org/I1326498283"],"apc_list":null,"apc_paid":null,"fwci":3.825,"has_fulltext":false,"cited_by_count":79,"citation_normalized_percentile":{"value":0.95351328,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"3555","last_page":"3560"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.994700014591217,"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":0.994700014591217,"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/T12994","display_name":"Infrared Thermography in Medicine","score":0.9563000202178955,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/body-mass-index","display_name":"Body mass index","score":0.6784076690673828},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6608511209487915},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6056715250015259},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5370793342590332},{"id":"https://openalex.org/keywords/weight-estimation","display_name":"Weight estimation","score":0.49450919032096863},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.4807400703430176},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4607769846916199},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4585127830505371},{"id":"https://openalex.org/keywords/body-weight","display_name":"Body weight","score":0.4463391602039337},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4405834972858429},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4369047284126282},{"id":"https://openalex.org/keywords/body-height","display_name":"Body height","score":0.4134639799594879},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3275687098503113},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27679991722106934},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.15697965025901794},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.0609094500541687}],"concepts":[{"id":"https://openalex.org/C2780221984","wikidata":"https://www.wikidata.org/wiki/Q131191","display_name":"Body mass index","level":2,"score":0.6784076690673828},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6608511209487915},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6056715250015259},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5370793342590332},{"id":"https://openalex.org/C3019530228","wikidata":"https://www.wikidata.org/wiki/Q620876","display_name":"Weight estimation","level":2,"score":0.49450919032096863},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.4807400703430176},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4607769846916199},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4585127830505371},{"id":"https://openalex.org/C147583825","wikidata":"https://www.wikidata.org/wiki/Q620876","display_name":"Body weight","level":2,"score":0.4463391602039337},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4405834972858429},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4369047284126282},{"id":"https://openalex.org/C3017783442","wikidata":"https://www.wikidata.org/wiki/Q476112","display_name":"Body height","level":3,"score":0.4134639799594879},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3275687098503113},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27679991722106934},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.15697965025901794},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0609094500541687},{"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},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr.2018.8546159","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2018.8546159","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 24th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/5","score":0.4399999976158142,"display_name":"Gender equality"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W186368821","https://openalex.org/W297909767","https://openalex.org/W1545140005","https://openalex.org/W1550111394","https://openalex.org/W1592011777","https://openalex.org/W1808603090","https://openalex.org/W1834627138","https://openalex.org/W1898928487","https://openalex.org/W1947960103","https://openalex.org/W1983929357","https://openalex.org/W1987223748","https://openalex.org/W1989687055","https://openalex.org/W1993960026","https://openalex.org/W1999275877","https://openalex.org/W2000647275","https://openalex.org/W2024909541","https://openalex.org/W2036278446","https://openalex.org/W2037495061","https://openalex.org/W2058865703","https://openalex.org/W2072903731","https://openalex.org/W2082379962","https://openalex.org/W2085851388","https://openalex.org/W2087097103","https://openalex.org/W2098372727","https://openalex.org/W2117539524","https://openalex.org/W2130352044","https://openalex.org/W2132931196","https://openalex.org/W2137401668","https://openalex.org/W2153339769","https://openalex.org/W2155893237","https://openalex.org/W2159428132","https://openalex.org/W2171893007","https://openalex.org/W2187260637","https://openalex.org/W2194775991","https://openalex.org/W2543031684","https://openalex.org/W2552485215","https://openalex.org/W2739088263","https://openalex.org/W2741133435","https://openalex.org/W2963790258","https://openalex.org/W4285719527","https://openalex.org/W6610482713","https://openalex.org/W6640543989","https://openalex.org/W6679286775","https://openalex.org/W6687034445","https://openalex.org/W6729468638"],"related_works":["https://openalex.org/W82928063","https://openalex.org/W2385058587","https://openalex.org/W2351520511","https://openalex.org/W2791426314","https://openalex.org/W2388572191","https://openalex.org/W4237212358","https://openalex.org/W2074283048","https://openalex.org/W3133983273","https://openalex.org/W3200797220","https://openalex.org/W2356472790"],"abstract_inverted_index":{"Body":[0],"height,":[1,44,84,126,147],"weight,":[2],"as":[3,5,34,36],"well":[4,35],"the":[6,65,75,80,99,144],"associated":[7],"and":[8,46,53,57,86,113,128,135,149],"composite":[9],"body":[10],"mass":[11],"index":[12],"(BMI)":[13],"are":[14],"human":[15],"attributes":[16],"of":[17,26,43,67,82,110,133,143,146],"pertinence":[18],"due":[19],"to":[20,64,125,131],"their":[21],"use":[22,66],"in":[23],"a":[24,94,106,140],"number":[25],"applications":[27],"including":[28],"surveillance,":[29],"re-identification,":[30],"image":[31],"retrieval":[32],"systems,":[33],"healthcare.":[37],"Previous":[38],"work":[39],"on":[40,51,98],"automated":[41],"estimation":[42],"weight":[45,85,127,148],"BMI":[47,87],"has":[48,61],"predominantly":[49],"focused":[50],"2D":[52],"3D":[54],"full-body":[55],"images":[56,91,120],"videos.":[58,136],"Little":[59],"attention":[60],"been":[62],"given":[63],"face":[68],"for":[69],"estimating":[70,83],"such":[71],"traits.":[72],"Motivated":[73],"by":[74,92],"above,":[76],"we":[77,104,138],"here":[78],"explore":[79],"possibility":[81],"from":[88],"single-shot":[89],"facial":[90,119],"proposing":[93],"regression":[95],"method":[96],"based":[97],"50-layers":[100],"ResNet-architecture.":[101],"In":[102],"addition,":[103],"present":[105],"novel":[107],"dataset":[108],"consisting":[109],"1026":[111],"subjects":[112],"show":[114],"results,":[115],"which":[116],"suggest":[117],"that":[118,132],"contain":[121],"discriminatory":[122],"information":[123],"pertaining":[124],"BMI,":[129],"comparable":[130],"body-images":[134],"Finally,":[137],"perform":[139],"gender-based":[141],"analysis":[142],"prediction":[145],"BMI.":[150]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":15},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":1}],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2025-10-10T00:00:00"}
