{"id":"https://openalex.org/W4405270620","doi":"https://doi.org/10.1109/cvmi61877.2024.10782389","title":"Body Mass Index (BMI) Estimation from Multi-view Facial Images","display_name":"Body Mass Index (BMI) Estimation from Multi-view Facial Images","publication_year":2024,"publication_date":"2024-10-19","ids":{"openalex":"https://openalex.org/W4405270620","doi":"https://doi.org/10.1109/cvmi61877.2024.10782389"},"language":"en","primary_location":{"id":"doi:10.1109/cvmi61877.2024.10782389","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvmi61877.2024.10782389","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Computer Vision and Machine Intelligence (CVMI)","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/A5115395058","display_name":"Sai Santhosh Pentakota","orcid":null},"institutions":[{"id":"https://openalex.org/I39244652","display_name":"Indian Institute of Information Technology, Design and Manufacturing, Kancheepuram","ror":"https://ror.org/023c9pb11","country_code":"IN","type":"education","lineage":["https://openalex.org/I39244652"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Sai Santhosh Pentakota","raw_affiliation_strings":["Indian Institute of Information Technology,Design and Manufacturing, Kancheepuram,Chennai,India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Information Technology,Design and Manufacturing, Kancheepuram,Chennai,India","institution_ids":["https://openalex.org/I39244652"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065424056","display_name":"A. Priya","orcid":null},"institutions":[{"id":"https://openalex.org/I4210109528","display_name":"PSG INSTITUTE OF TECHNOLOGY AND APPLIED RESEARCH","ror":"https://ror.org/01sa9ng67","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210109528"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"A Lakshmi Priya","raw_affiliation_strings":["PSG College of Technology,Coimbatore,India"],"affiliations":[{"raw_affiliation_string":"PSG College of Technology,Coimbatore,India","institution_ids":["https://openalex.org/I4210109528"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Sheri Saket Reddy","orcid":null},"institutions":[{"id":"https://openalex.org/I39244652","display_name":"Indian Institute of Information Technology, Design and Manufacturing, Kancheepuram","ror":"https://ror.org/023c9pb11","country_code":"IN","type":"education","lineage":["https://openalex.org/I39244652"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sheri Saket Reddy","raw_affiliation_strings":["Indian Institute of Information Technology,Design and Manufacturing, Kancheepuram,Chennai,India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Information Technology,Design and Manufacturing, Kancheepuram,Chennai,India","institution_ids":["https://openalex.org/I39244652"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108478974","display_name":"J. Umarani","orcid":null},"institutions":[{"id":"https://openalex.org/I39244652","display_name":"Indian Institute of Information Technology, Design and Manufacturing, Kancheepuram","ror":"https://ror.org/023c9pb11","country_code":"IN","type":"education","lineage":["https://openalex.org/I39244652"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"J Umarani","raw_affiliation_strings":["Indian Institute of Information Technology,Design and Manufacturing, Kancheepuram,Chennai,India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Information Technology,Design and Manufacturing, Kancheepuram,Chennai,India","institution_ids":["https://openalex.org/I39244652"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5115395058"],"corresponding_institution_ids":["https://openalex.org/I39244652"],"apc_list":null,"apc_paid":null,"fwci":0.8432,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.81441709,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13169","display_name":"Consumer Perception and Purchasing Behavior","score":0.8313000202178955,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T13169","display_name":"Consumer Perception and Purchasing Behavior","score":0.8313000202178955,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.8203999996185303,"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/body-mass-index","display_name":"Body mass index","score":0.6169991493225098},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5864372849464417},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.5734152793884277},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.5698500871658325},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5156115889549255},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.45394375920295715},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.17155125737190247},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09646347165107727},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.06993293762207031},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.0565531849861145}],"concepts":[{"id":"https://openalex.org/C2780221984","wikidata":"https://www.wikidata.org/wiki/Q131191","display_name":"Body mass index","level":2,"score":0.6169991493225098},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5864372849464417},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.5734152793884277},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.5698500871658325},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5156115889549255},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.45394375920295715},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.17155125737190247},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09646347165107727},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.06993293762207031},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0565531849861145},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvmi61877.2024.10782389","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvmi61877.2024.10782389","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Computer Vision and Machine Intelligence (CVMI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/5","display_name":"Gender equality","score":0.550000011920929}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2096733369","https://openalex.org/W2194775991","https://openalex.org/W2963446712","https://openalex.org/W2974117971","https://openalex.org/W3022909466","https://openalex.org/W3129358128","https://openalex.org/W3155914705","https://openalex.org/W3162638591","https://openalex.org/W3194749939","https://openalex.org/W4211040756","https://openalex.org/W6605697617","https://openalex.org/W6737664043","https://openalex.org/W6783661605"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Accurate":[0],"estimation":[1,171],"of":[2,25,164],"Body":[3],"Mass":[4],"Index":[5],"(BMI)":[6],"from":[7,32,172],"facial":[8,33,173],"images":[9,34,42,130],"holds":[10],"significant":[11],"potential":[12,163],"for":[13,179],"applications":[14],"in":[15,29,143,148,168],"health":[16,183],"and":[17,43,48,63,77,84,101,119,122,146,184,188],"fitness":[18,185],"monitoring.":[19],"This":[20],"study":[21],"explores":[22],"the":[23,107,111,115,123,140,162],"efficacy":[24],"Deep":[26,57,165],"Learning":[27,58,166],"models":[28,59,81,167],"estimating":[30],"BMI":[31,170],"through":[35],"two":[36],"experiments:":[37],"one":[38],"utilizing":[39],"solely":[40],"frontal-view":[41],"another":[44],"combining":[45],"both":[46],"frontal":[47,100,136],"profile":[49,102],"views":[50,103],"(Multi-view).":[51],"Performance":[52],"is":[53],"assessed":[54],"using":[55],"three":[56],"namely":[60],"ResNet-50,":[61],"MobileNet-V2,":[62],"DenseNet-121,":[64],"with":[65,134],"evaluation":[66],"metrics":[67],"including":[68],"Mean":[69,73],"Absolute":[70],"Error":[71,75],"(MAE),":[72],"Squared":[74],"(MSE),":[76],"R-squared":[78],"($\\mathrm{R}^{2}$).":[79],"The":[80,94],"are":[82,131],"trained":[83],"validated":[85],"on":[86],"a":[87,154],"public":[88],"IDOC":[89],"dataset":[90],"comprising":[91],"140,000":[92],"images.":[93],"experimental":[95],"results":[96,160],"indicate":[97],"that":[98],"incorporating":[99],"(multi-view)":[104],"significantly":[105],"enhances":[106],"accuracy.":[108],"Among":[109],"all,":[110],"ResNet-50":[112],"model":[113],"achieves":[114],"lowest":[116],"MAE":[117,144],"(2.60)":[118],"MSE":[120,149],"(12.60),":[121],"highest":[124],"$\\mathrm{R}^{2}$":[125,156],"value":[126,157],"(0.52)":[127],"when":[128],"multi-view":[129],"used.":[132],"Conversely,":[133],"only":[135],"views,":[137],"MobileNet-V2":[138],"demonstrates":[139],"best":[141],"performance":[142],"(2.71)":[145],"nearly":[147],"(13.73),":[150],"while":[151],"also":[152],"maintaining":[153],"high":[155],"(0.51).":[158],"These":[159],"underscore":[161],"improving":[169],"images,":[174],"which":[175],"could":[176],"be":[177],"pivotal":[178],"developing":[180],"more":[181],"precise":[182],"monitoring":[186],"systems":[187],"medical":[189],"applications.":[190]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}