{"id":"https://openalex.org/W4377824144","doi":"https://doi.org/10.1115/1.4062596","title":"Virtual Footwear Try-On in Augmented Reality Using Deep Learning Models","display_name":"Virtual Footwear Try-On in Augmented Reality Using Deep Learning Models","publication_year":2023,"publication_date":"2023-05-23","ids":{"openalex":"https://openalex.org/W4377824144","doi":"https://doi.org/10.1115/1.4062596"},"language":"en","primary_location":{"id":"doi:10.1115/1.4062596","is_oa":false,"landing_page_url":"https://doi.org/10.1115/1.4062596","pdf_url":null,"source":{"id":"https://openalex.org/S173178594","display_name":"Journal of Computing and Information Science in Engineering","issn_l":"1530-9827","issn":["1530-9827","1944-7078"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316053","host_organization_name":"ASM International","host_organization_lineage":["https://openalex.org/P4310316053"],"host_organization_lineage_names":["ASM International"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computing and Information Science in Engineering","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/A5002431882","display_name":"Ting Chou","orcid":null},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ting Chou","raw_affiliation_strings":["National Tsing Hua University Department of Industrial Engineering and Engineering Management, , 101 Kuang Fu Rd, Sec 2, Hsinchu 300 , Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Tsing Hua University Department of Industrial Engineering and Engineering Management, , 101 Kuang Fu Rd, Sec 2, Hsinchu 300 , Taiwan","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055391062","display_name":"Chih\u2010Hsing Chu","orcid":"https://orcid.org/0000-0002-4673-5825"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Chih-Hsing Chu","raw_affiliation_strings":["National Tsing Hua University Department of Industrial Engineering and Engineering Management, , 101 Kuang Fu Rd, Sec 2, Hsinchu 300 , Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Tsing Hua University Department of Industrial Engineering and Engineering Management, , 101 Kuang Fu Rd, Sec 2, Hsinchu 300 , Taiwan","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100755583","display_name":"Shengjun Liu","orcid":"https://orcid.org/0000-0002-3222-5656"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengjun Liu","raw_affiliation_strings":["Central South University School of Mathematics and Statistics, , No. 932 South Lushan Road Changsha, Hunan 410083 , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Central South University School of Mathematics and Statistics, , No. 932 South Lushan Road Changsha, Hunan 410083 , China","institution_ids":["https://openalex.org/I139660479"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5055391062"],"corresponding_institution_ids":["https://openalex.org/I25846049"],"apc_list":null,"apc_paid":null,"fwci":1.607,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.79585321,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"24","issue":"3","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9539999961853027,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9539999961853027,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12994","display_name":"Infrared Thermography in Medicine","score":0.9164000153541565,"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"}},{"id":"https://openalex.org/T11227","display_name":"Diabetic Foot Ulcer Assessment and Management","score":0.9160000085830688,"subfield":{"id":"https://openalex.org/subfields/2712","display_name":"Endocrinology, Diabetes and Metabolism"},"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7245557308197021},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6607897877693176},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.629802405834198},{"id":"https://openalex.org/keywords/augmented-reality","display_name":"Augmented reality","score":0.6267693638801575},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6203764081001282},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.5949822068214417},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.59360671043396},{"id":"https://openalex.org/keywords/virtual-reality","display_name":"Virtual reality","score":0.5485587120056152},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5412298440933228},{"id":"https://openalex.org/keywords/bridge","display_name":"Bridge (graph theory)","score":0.536385715007782},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5216798782348633},{"id":"https://openalex.org/keywords/personalization","display_name":"Personalization","score":0.4610016345977783}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7245557308197021},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6607897877693176},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.629802405834198},{"id":"https://openalex.org/C153715457","wikidata":"https://www.wikidata.org/wiki/Q254183","display_name":"Augmented reality","level":2,"score":0.6267693638801575},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6203764081001282},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.5949822068214417},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.59360671043396},{"id":"https://openalex.org/C194969405","wikidata":"https://www.wikidata.org/wiki/Q170519","display_name":"Virtual reality","level":2,"score":0.5485587120056152},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5412298440933228},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.536385715007782},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5216798782348633},{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.4610016345977783},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","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/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1115/1.4062596","is_oa":false,"landing_page_url":"https://doi.org/10.1115/1.4062596","pdf_url":null,"source":{"id":"https://openalex.org/S173178594","display_name":"Journal of Computing and Information Science in Engineering","issn_l":"1530-9827","issn":["1530-9827","1944-7078"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316053","host_organization_name":"ASM International","host_organization_lineage":["https://openalex.org/P4310316053"],"host_organization_lineage_names":["ASM International"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computing and Information Science in Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.550000011920929}],"awards":[{"id":"https://openalex.org/G166099142","display_name":null,"funder_award_id":"109-2221-E-007-064-MY3","funder_id":"https://openalex.org/F4320321040","funder_display_name":"National Science Council"}],"funders":[{"id":"https://openalex.org/F4320321040","display_name":"National Science Council","ror":"https://ror.org/02kv4zf79"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W132147841","https://openalex.org/W195355606","https://openalex.org/W1526868886","https://openalex.org/W2032633822","https://openalex.org/W2033819227","https://openalex.org/W2075506505","https://openalex.org/W2125587736","https://openalex.org/W2134134203","https://openalex.org/W2152161678","https://openalex.org/W2183341477","https://openalex.org/W2605102758","https://openalex.org/W2768879211","https://openalex.org/W2901999777","https://openalex.org/W2946217385","https://openalex.org/W2958480196","https://openalex.org/W2963188159","https://openalex.org/W2963756608","https://openalex.org/W2964304707","https://openalex.org/W3013443847","https://openalex.org/W3196515900","https://openalex.org/W3207951684","https://openalex.org/W4200194443","https://openalex.org/W4288102879","https://openalex.org/W4289489637","https://openalex.org/W4320800818","https://openalex.org/W6605377543","https://openalex.org/W6608039874","https://openalex.org/W6631711059","https://openalex.org/W6678611070","https://openalex.org/W6686164453","https://openalex.org/W6692078629","https://openalex.org/W6736179038","https://openalex.org/W6745401828","https://openalex.org/W6745905613","https://openalex.org/W6754677871","https://openalex.org/W6757984240","https://openalex.org/W6762619853","https://openalex.org/W6768391680","https://openalex.org/W6929583220"],"related_works":["https://openalex.org/W2172197285","https://openalex.org/W2991048842","https://openalex.org/W2750280393","https://openalex.org/W2355696739","https://openalex.org/W96612179","https://openalex.org/W2736982640","https://openalex.org/W4378228262","https://openalex.org/W4378228679","https://openalex.org/W3107375852","https://openalex.org/W2789244453"],"abstract_inverted_index":{"Abstract":[0],"Customization":[1],"is":[2],"an":[3],"increasing":[4],"trend":[5],"in":[6,24,42,112,161],"fashion":[7],"product":[8],"industry":[9],"to":[10,47,65,107,156],"reflect":[11],"individual":[12],"lifestyles.":[13],"Previous":[14],"studies":[15],"have":[16],"examined":[17],"the":[18,33,37,49,67,105,109,132,136,150,158,163],"idea":[19],"of":[20,39,53,75,138,152],"virtual":[21,139],"footwear":[22,140],"try-on":[23,141],"augmented":[25],"reality":[26,159],"(AR)":[27],"using":[28,61,119,142],"a":[29,54,58,71,143],"depth":[30,34],"camera.":[31,145],"However,":[32],"camera":[35],"restricts":[36],"deployment":[38],"this":[40],"technology":[41],"practice.":[43],"This":[44],"research":[45],"proposes":[46],"estimate":[48],"six":[50],"degrees-of-freedom":[51],"pose":[52,92,111],"human":[55,164],"foot":[56,79,110,165],"from":[57],"color":[59],"image":[60],"deep":[62],"learning":[63],"models":[64,89],"solve":[66],"problem.":[68],"We":[69],"construct":[70],"training":[72,126,154],"dataset":[73,106],"consisting":[74],"synthetic":[76],"and":[77,96,125],"real":[78,153],"images":[80],"that":[81],"are":[82,102,117],"automatically":[83],"annotated.":[84],"Three":[85],"convolutional":[86],"neural":[87],"network":[88],"(deep":[90],"object":[91],"estimation":[93],"(DOPE),":[94],"DOPE2,":[95],"You":[97],"Only":[98],"Look":[99],"Once":[100],"(YOLO)-6D)":[101],"trained":[103],"with":[104],"predict":[108],"real-time.":[113],"The":[114],"model":[115,134],"performances":[116],"evaluated":[118],"metrics":[120],"for":[121],"accuracy,":[122],"computational":[123],"efficiency,":[124],"time.":[127],"A":[128],"prototyping":[129],"system":[130],"implementing":[131],"best":[133],"demonstrates":[135],"feasibility":[137],"red\u2013green\u2013blue":[144],"Test":[146],"results":[147],"also":[148],"indicate":[149],"necessity":[151],"data":[155],"bridge":[157],"gap":[160],"estimating":[162],"pose.":[166]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":2}],"updated_date":"2026-07-31T08:31:51.225901","created_date":"2025-10-10T00:00:00"}
