{"id":"https://openalex.org/W2993909074","doi":"https://doi.org/10.1109/access.2019.2957862","title":"CNN-Based Denoising, Completion, and Prediction of Whole-Body Human-Depth Images","display_name":"CNN-Based Denoising, Completion, and Prediction of Whole-Body Human-Depth Images","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2993909074","doi":"https://doi.org/10.1109/access.2019.2957862","mag":"2993909074"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2957862","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2957862","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08924676.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08924676.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Jae Won Jang","orcid":"https://orcid.org/0000-0003-2957-668X"},"institutions":[{"id":"https://openalex.org/I146429904","display_name":"Incheon National University","ror":"https://ror.org/02xf7p935","country_code":"KR","type":"education","lineage":["https://openalex.org/I146429904"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jae Won Jang","raw_affiliation_strings":["Department of Electronics Engineering, Incheon National University, Incheon, South Korea"],"raw_orcid":"https://orcid.org/0000-0003-2957-668X","affiliations":[{"raw_affiliation_string":"Department of Electronics Engineering, Incheon National University, Incheon, South Korea","institution_ids":["https://openalex.org/I146429904"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113888907","display_name":"Young Chan Kwon","orcid":null},"institutions":[{"id":"https://openalex.org/I146429904","display_name":"Incheon National University","ror":"https://ror.org/02xf7p935","country_code":"KR","type":"education","lineage":["https://openalex.org/I146429904"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Young Chan Kwon","raw_affiliation_strings":["Department of Electronics Engineering, Incheon National University, Incheon, South Korea"],"raw_orcid":"https://orcid.org/0000-0001-9860-9145","affiliations":[{"raw_affiliation_string":"Department of Electronics Engineering, Incheon National University, Incheon, South Korea","institution_ids":["https://openalex.org/I146429904"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008141356","display_name":"Hwasup Lim","orcid":"https://orcid.org/0000-0003-2957-668X"},"institutions":[{"id":"https://openalex.org/I4210140519","display_name":"Korean Association Of Science and Technology Studies","ror":"https://ror.org/04qh86j58","country_code":"KR","type":"other","lineage":["https://openalex.org/I4210140519"]},{"id":"https://openalex.org/I58716616","display_name":"Korea Institute of Science and Technology","ror":"https://ror.org/05kzfa883","country_code":"KR","type":"facility","lineage":["https://openalex.org/I27494661","https://openalex.org/I2801339556","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098","https://openalex.org/I4387152098","https://openalex.org/I58716616"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hwasup Lim","raw_affiliation_strings":["Center for Imaging Media Research, Korea Institute of Science and Technology, Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Imaging Media Research, Korea Institute of Science and Technology, Seoul, South Korea","institution_ids":["https://openalex.org/I58716616","https://openalex.org/I4210140519"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018353908","display_name":"Ouk Choi","orcid":"https://orcid.org/0000-0001-9860-9145"},"institutions":[{"id":"https://openalex.org/I146429904","display_name":"Incheon National University","ror":"https://ror.org/02xf7p935","country_code":"KR","type":"education","lineage":["https://openalex.org/I146429904"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Ouk Choi","raw_affiliation_strings":["Department of Electronics Engineering, Incheon National University, Incheon, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics Engineering, Incheon National University, Incheon, South Korea","institution_ids":["https://openalex.org/I146429904"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.3884,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.61829496,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"7","issue":null,"first_page":"175842","last_page":"175856"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9988999962806702,"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":0.9988999962806702,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9976000189781189,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9858999848365784,"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":0.8296531438827515},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.8077622056007385},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.769943356513977},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6668545007705688},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6020750403404236},{"id":"https://openalex.org/keywords/depth-map","display_name":"Depth map","score":0.5745057463645935},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5577314496040344},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5121827125549316},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.4730707108974457},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.46246880292892456},{"id":"https://openalex.org/keywords/virtual-reality","display_name":"Virtual reality","score":0.453429639339447},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.43844401836395264},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3203873634338379},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09399059414863586}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8296531438827515},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.8077622056007385},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.769943356513977},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6668545007705688},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6020750403404236},{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.5745057463645935},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5577314496040344},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5121827125549316},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.4730707108974457},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.46246880292892456},{"id":"https://openalex.org/C194969405","wikidata":"https://www.wikidata.org/wiki/Q170519","display_name":"Virtual reality","level":2,"score":0.453429639339447},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.43844401836395264},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3203873634338379},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09399059414863586},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2957862","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2957862","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08924676.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:543fad049bbe4462a8ed671d00ace1e4","is_oa":true,"landing_page_url":"https://doaj.org/article/543fad049bbe4462a8ed671d00ace1e4","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 175842-175856 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2957862","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2957862","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08924676.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321363","display_name":"Incheon National University","ror":"https://ror.org/02xf7p935"},{"id":"https://openalex.org/F4320322091","display_name":"Korea Institute of Science and Technology","ror":"https://ror.org/05kzfa883"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2993909074.pdf","grobid_xml":"https://content.openalex.org/works/W2993909074.grobid-xml"},"referenced_works_count":96,"referenced_works":["https://openalex.org/W1520005879","https://openalex.org/W1901129140","https://openalex.org/W1913661415","https://openalex.org/W1920022804","https://openalex.org/W1938204631","https://openalex.org/W1967554269","https://openalex.org/W1987648924","https://openalex.org/W1989191365","https://openalex.org/W1992475172","https://openalex.org/W2008550072","https://openalex.org/W2019788111","https://openalex.org/W2030929335","https://openalex.org/W2036196300","https://openalex.org/W2044618760","https://openalex.org/W2046434485","https://openalex.org/W2053812214","https://openalex.org/W2075834168","https://openalex.org/W2167690872","https://openalex.org/W2175012183","https://openalex.org/W2221659194","https://openalex.org/W2325034626","https://openalex.org/W2342277278","https://openalex.org/W2461005315","https://openalex.org/W2483862638","https://openalex.org/W2495603374","https://openalex.org/W2535388113","https://openalex.org/W2557465155","https://openalex.org/W2559085405","https://openalex.org/W2559882727","https://openalex.org/W2621920574","https://openalex.org/W2736384647","https://openalex.org/W2746892480","https://openalex.org/W2749324691","https://openalex.org/W2765452429","https://openalex.org/W2767503796","https://openalex.org/W2768345177","https://openalex.org/W2768639954","https://openalex.org/W2768891351","https://openalex.org/W2776768244","https://openalex.org/W2778680124","https://openalex.org/W2786036844","https://openalex.org/W2793768642","https://openalex.org/W2798637590","https://openalex.org/W2799135238","https://openalex.org/W2801324747","https://openalex.org/W2805088284","https://openalex.org/W2885017486","https://openalex.org/W2886799640","https://openalex.org/W2887358179","https://openalex.org/W2890659491","https://openalex.org/W2897814836","https://openalex.org/W2901584762","https://openalex.org/W2914429466","https://openalex.org/W2921616849","https://openalex.org/W2921745007","https://openalex.org/W2928723478","https://openalex.org/W2949207595","https://openalex.org/W2950701417","https://openalex.org/W2955466095","https://openalex.org/W2962754033","https://openalex.org/W2962921964","https://openalex.org/W2963253279","https://openalex.org/W2963669509","https://openalex.org/W2963732450","https://openalex.org/W2963735494","https://openalex.org/W2963869461","https://openalex.org/W2963873475","https://openalex.org/W2963907666","https://openalex.org/W2963995996","https://openalex.org/W2964219767","https://openalex.org/W2965523038","https://openalex.org/W2978956737","https://openalex.org/W2981827368","https://openalex.org/W2988856441","https://openalex.org/W3006223838","https://openalex.org/W4255698256","https://openalex.org/W4297692481","https://openalex.org/W6639824700","https://openalex.org/W6640300118","https://openalex.org/W6701278468","https://openalex.org/W6703956885","https://openalex.org/W6719936175","https://openalex.org/W6722076910","https://openalex.org/W6723438068","https://openalex.org/W6729687604","https://openalex.org/W6745947945","https://openalex.org/W6747827861","https://openalex.org/W6750759946","https://openalex.org/W6753188454","https://openalex.org/W6753838793","https://openalex.org/W6757742254","https://openalex.org/W6760239455","https://openalex.org/W6760279582","https://openalex.org/W6761676218","https://openalex.org/W6761846481","https://openalex.org/W6767434228"],"related_works":["https://openalex.org/W4389574804","https://openalex.org/W3016928466","https://openalex.org/W2936725271","https://openalex.org/W3150655618","https://openalex.org/W3108295644","https://openalex.org/W1578717197","https://openalex.org/W2626737336","https://openalex.org/W2005998065","https://openalex.org/W2980582925","https://openalex.org/W3126423817"],"abstract_inverted_index":{"Three-dimensional":[0],"human":[1],"shape":[2],"reconstruction":[3],"is":[4,122],"important":[5],"in":[6],"many":[7],"applications,":[8],"such":[9],"as":[10],"virtual":[11,16],"or":[12],"augmented":[13],"reality":[14],"(VR/AR),":[15],"clothing":[17],"fitting,":[18],"and":[19,49,113],"healthcare.":[20],"In":[21,130],"this":[22,69],"paper,":[23],"we":[24,71,98],"propose":[25,72,99],"a":[26,31,36,63,82,100],"learning-based":[27],"method":[28,103,121],"for":[29,104,124,146],"reconstructing":[30],"whole-body":[32,127],"point":[33,54,128],"cloud":[34,55],"from":[35,47],"single":[37],"front-view":[38,91],"human-depth":[39,109],"image.":[40,66,93],"Because":[41],"actual":[42,149],"depth":[43,65,84,92,142,150],"images":[44,110,143],"typically":[45],"suffer":[46],"noise":[48,112],"missing":[50,114],"data,":[51],"an":[52],"accurate":[53],"cannot":[56],"be":[57],"reasonably":[58],"obtained":[59],"by":[60],"simply":[61],"predicting":[62],"back-view":[64,83],"To":[67,94],"solve":[68],"problem,":[70],"to":[73,148],"use":[74],"convolutional":[75],"neural":[76],"networks":[77,137],"that":[78,118,135],"not":[79],"only":[80],"predict":[81],"image":[85],"but":[86,107],"also":[87],"refine":[88],"the":[89,96,119,132,136,140],"input":[90],"train":[95],"networks,":[97],"carefully":[101],"designed":[102],"generating":[105],"synthetic":[106,141],"realistic":[108],"with":[111],"data.":[115],"Experiments":[116],"show":[117,134],"proposed":[120],"effective":[123],"obtaining":[125],"seamless":[126],"clouds.":[129],"addition,":[131],"experiments":[133],"trained":[138],"on":[139],"are":[144],"ready":[145],"application":[147],"images.":[151]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}