{"id":"https://openalex.org/W2975742264","doi":"https://doi.org/10.2352/issn.2470-1173.2019.16.3dmp-002","title":"4D scanning system for measurement of human body in motion","display_name":"4D scanning system for measurement of human body in motion","publication_year":2019,"publication_date":"2019-01-13","ids":{"openalex":"https://openalex.org/W2975742264","doi":"https://doi.org/10.2352/issn.2470-1173.2019.16.3dmp-002","mag":"2975742264"},"language":"en","primary_location":{"id":"doi:10.2352/issn.2470-1173.2019.16.3dmp-002","is_oa":false,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2019.16.3dmp-002","pdf_url":null,"source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","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/A5075264674","display_name":"Robert Sitnik","orcid":"https://orcid.org/0000-0002-8156-5462"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Robert Sitnik","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101514604","display_name":"Marta Nowak","orcid":"https://orcid.org/0000-0003-2416-1354"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Marta Nowak","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5098523024","display_name":"Liberadzki Pawe\u00c5","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pawe\u00c5, Liberadzki","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5080305186","display_name":"Jakub Micho\u0144ski","orcid":"https://orcid.org/0000-0001-7284-8463"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jakub Micho\u0144ski","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2034,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.5468531,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"31","issue":"16","first_page":"2","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10638","display_name":"Optical measurement and interference techniques","score":0.9926000237464905,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9926000237464905,"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/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9764999747276306,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9740999937057495,"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":0.6240274906158447},{"id":"https://openalex.org/keywords/crosstalk","display_name":"Crosstalk","score":0.5552642345428467},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5333265066146851},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5211398601531982},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5097507834434509},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.5015430450439453},{"id":"https://openalex.org/keywords/motion-capture","display_name":"Motion capture","score":0.4589672088623047},{"id":"https://openalex.org/keywords/frame-rate","display_name":"Frame rate","score":0.45819056034088135},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.4395514130592346},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.34261107444763184},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.2950390577316284},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.23114866018295288},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.18918466567993164},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08001905679702759}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6240274906158447},{"id":"https://openalex.org/C169822122","wikidata":"https://www.wikidata.org/wiki/Q230187","display_name":"Crosstalk","level":2,"score":0.5552642345428467},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5333265066146851},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5211398601531982},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5097507834434509},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.5015430450439453},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.4589672088623047},{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.45819056034088135},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.4395514130592346},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.34261107444763184},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.2950390577316284},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.23114866018295288},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.18918466567993164},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08001905679702759}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2352/issn.2470-1173.2019.16.3dmp-002","is_oa":false,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2019.16.3dmp-002","pdf_url":null,"source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6899999976158142,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2622826586","https://openalex.org/W2167472940","https://openalex.org/W4280525841","https://openalex.org/W2560789951","https://openalex.org/W2492758367","https://openalex.org/W2807571008","https://openalex.org/W4388636991","https://openalex.org/W1975375876","https://openalex.org/W2977517636","https://openalex.org/W2810129309"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3],"propose":[4],"4DBODY":[5,116],"system":[6,99],"which":[7,100],"realizes":[8],"full":[9],"body":[10,71],"4D":[11],"scanning":[12],"of":[13,50,83,110,115],"human":[14,70],"in":[15],"motion.":[16],"It":[17],"consists":[18],"eight":[19],"measurement":[20],"heads":[21,30],"based":[22,47],"on":[23,48],"single":[24],"frame":[25,44],"structured":[26],"light":[27],"method.":[28],"All":[29],"works":[31],"synchronously":[32],"with":[33,37,54,112],"frequency":[34],"120":[35],"Hz":[36],"spectral":[38],"separation":[39],"to":[40,102],"eliminate":[41],"crosstalk.":[42],"Single":[43],"method":[45],"is":[46],"projection":[49],"sinusoidal":[51],"fringe":[52],"pattern":[53],"special":[55],"marker":[56],"allowing":[57],"for":[58,69],"absolute":[59],"phase":[60],"reconstruction.":[61],"We":[62,73,95,106],"develop":[63],"custom":[64],"made":[65],"unwrapping":[66],"procedure":[67],"adjusted":[68],"analysis.":[72],"could":[74],"achieve":[75],"0.5":[76],"mm":[77,82],"spatial":[78],"resolution":[79],"and":[80],"0.3":[81],"accuracy":[84],"within":[85],"a":[86],"1.5":[87,89],"x":[88,90],"2.0":[91],"m3":[92],"working":[93],"volume.":[94],"integrated":[96],"treadmill":[97],"into":[98],"allows":[101],"perform":[103],"walking":[104],"experiments.":[105],"present":[107],"some":[108],"results":[109],"measurements":[111],"initial":[113],"validation":[114],"system.":[117]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}