{"id":"https://openalex.org/W1544376602","doi":"https://doi.org/10.1109/mva.2015.7153123","title":"Entire shape scan system with multiple pro-cams using texture information and accurate silhouette creating technique","display_name":"Entire shape scan system with multiple pro-cams using texture information and accurate silhouette creating technique","publication_year":2015,"publication_date":"2015-05-01","ids":{"openalex":"https://openalex.org/W1544376602","doi":"https://doi.org/10.1109/mva.2015.7153123","mag":"1544376602"},"language":"en","primary_location":{"id":"doi:10.1109/mva.2015.7153123","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mva.2015.7153123","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 14th IAPR International Conference on Machine Vision Applications (MVA)","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/A5018340634","display_name":"Yoshinori Oki","orcid":null},"institutions":[{"id":"https://openalex.org/I107139324","display_name":"Kagoshima University","ror":"https://ror.org/03ss88z23","country_code":"JP","type":"education","lineage":["https://openalex.org/I107139324"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Yoshinori Oki","raw_affiliation_strings":["Kagoshima University","Kagoshima University >  >  >  >"],"affiliations":[{"raw_affiliation_string":"Kagoshima University","institution_ids":["https://openalex.org/I107139324"]},{"raw_affiliation_string":"Kagoshima University >  >  >  >","institution_ids":["https://openalex.org/I107139324"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083114270","display_name":"Marco Visentini-Scarzanella","orcid":"https://orcid.org/0000-0003-0907-8341"},"institutions":[{"id":"https://openalex.org/I107139324","display_name":"Kagoshima University","ror":"https://ror.org/03ss88z23","country_code":"JP","type":"education","lineage":["https://openalex.org/I107139324"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Marco Visentini-Scarzanella","raw_affiliation_strings":["Kagoshima University","Kagoshima University >  >  >  >"],"affiliations":[{"raw_affiliation_string":"Kagoshima University","institution_ids":["https://openalex.org/I107139324"]},{"raw_affiliation_string":"Kagoshima University >  >  >  >","institution_ids":["https://openalex.org/I107139324"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048604349","display_name":"Tomohito Wada","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tomohito Wada","raw_affiliation_strings":["National Institute of Fitness and Sports"],"affiliations":[{"raw_affiliation_string":"National Institute of Fitness and Sports","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009430788","display_name":"Ryo Furukawa","orcid":"https://orcid.org/0000-0002-2063-1008"},"institutions":[{"id":"https://openalex.org/I57930482","display_name":"Hiroshima City University","ror":"https://ror.org/001et4e78","country_code":"JP","type":"education","lineage":["https://openalex.org/I57930482"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ryo Furukawa","raw_affiliation_strings":["Hiroshima City University","Hiroshima City Univ.#TAB#"],"affiliations":[{"raw_affiliation_string":"Hiroshima City University","institution_ids":["https://openalex.org/I57930482"]},{"raw_affiliation_string":"Hiroshima City Univ.#TAB#","institution_ids":["https://openalex.org/I57930482"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076890403","display_name":"Ryusuke Sagawa","orcid":"https://orcid.org/0000-0002-6778-8838"},"institutions":[{"id":"https://openalex.org/I73613424","display_name":"National Institute of Advanced Industrial Science and Technology","ror":"https://ror.org/01703db54","country_code":"JP","type":"government","lineage":["https://openalex.org/I73613424"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ryusuke Sagawa","raw_affiliation_strings":["AIST","AIST#TAB#"],"affiliations":[{"raw_affiliation_string":"AIST","institution_ids":[]},{"raw_affiliation_string":"AIST#TAB#","institution_ids":["https://openalex.org/I73613424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068195954","display_name":"Hiroshi Kawasaki","orcid":"https://orcid.org/0000-0001-5825-6066"},"institutions":[{"id":"https://openalex.org/I107139324","display_name":"Kagoshima University","ror":"https://ror.org/03ss88z23","country_code":"JP","type":"education","lineage":["https://openalex.org/I107139324"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroshi Kawasaki","raw_affiliation_strings":["Kagoshima University","Kagoshima University >  >  >  >"],"affiliations":[{"raw_affiliation_string":"Kagoshima University","institution_ids":["https://openalex.org/I107139324"]},{"raw_affiliation_string":"Kagoshima University >  >  >  >","institution_ids":["https://openalex.org/I107139324"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5018340634"],"corresponding_institution_ids":["https://openalex.org/I107139324"],"apc_list":null,"apc_paid":null,"fwci":0.1841,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.55007454,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"18","last_page":"21"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9998999834060669,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9998999834060669,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9962000250816345,"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-vision","display_name":"Computer vision","score":0.8468668460845947},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8273179531097412},{"id":"https://openalex.org/keywords/silhouette","display_name":"Silhouette","score":0.7901735305786133},{"id":"https://openalex.org/keywords/background-subtraction","display_name":"Background subtraction","score":0.7894891500473022},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7580556273460388},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6387670636177063},{"id":"https://openalex.org/keywords/shadow","display_name":"Shadow (psychology)","score":0.5320466756820679},{"id":"https://openalex.org/keywords/projector","display_name":"Projector","score":0.5201804637908936},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.4543849229812622},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4267643690109253},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.41166672110557556},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.35862305760383606},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.29823464155197144},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.25156599283218384},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.07048046588897705}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.8468668460845947},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8273179531097412},{"id":"https://openalex.org/C58103923","wikidata":"https://www.wikidata.org/wiki/Q2286025","display_name":"Silhouette","level":2,"score":0.7901735305786133},{"id":"https://openalex.org/C32653426","wikidata":"https://www.wikidata.org/wiki/Q3813641","display_name":"Background subtraction","level":3,"score":0.7894891500473022},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7580556273460388},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6387670636177063},{"id":"https://openalex.org/C117797892","wikidata":"https://www.wikidata.org/wiki/Q286363","display_name":"Shadow (psychology)","level":2,"score":0.5320466756820679},{"id":"https://openalex.org/C2776865275","wikidata":"https://www.wikidata.org/wiki/Q311666","display_name":"Projector","level":2,"score":0.5201804637908936},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.4543849229812622},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4267643690109253},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.41166672110557556},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.35862305760383606},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.29823464155197144},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.25156599283218384},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.07048046588897705},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mva.2015.7153123","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mva.2015.7153123","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 14th IAPR International Conference on Machine Vision Applications (MVA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.6700000166893005,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2064381770","https://openalex.org/W2093294906","https://openalex.org/W2117007522","https://openalex.org/W2123782500","https://openalex.org/W2129404737","https://openalex.org/W2156598602","https://openalex.org/W2183291369","https://openalex.org/W2975698860","https://openalex.org/W7056701903"],"related_works":["https://openalex.org/W28439884","https://openalex.org/W3161582060","https://openalex.org/W2112497652","https://openalex.org/W2104051139","https://openalex.org/W2189228877","https://openalex.org/W2093504595","https://openalex.org/W2400514148","https://openalex.org/W1987287817","https://openalex.org/W2123129869","https://openalex.org/W3094443322"],"abstract_inverted_index":{"Recently,":[0],"many":[1],"approaches":[2],"have":[3,50],"been":[4],"proposed":[5],"for":[6,42,128],"complete":[7],"3D":[8,31],"reconstruction":[9,15,130],"of":[10,63,109,125,131],"moving":[11,44,132],"objects.":[12,45],"Particularly,":[13],"one-shot":[14,47,129],"using":[16,96],"a":[17,34,90,107],"projector-camera":[18],"system":[19],"(pro-cam)":[20],"has":[21],"attracted":[22],"considerable":[23],"attention":[24],"as":[25],"it":[26,38],"can":[27,73,121],"reconstruct":[28],"the":[29,51,54,61,64,78,82,123],"full":[30],"shape":[32],"from":[33],"single":[35],"image":[36],"and":[37,67,99,139],"is":[39,57],"therefore":[40],"suitable":[41],"capturing":[43],"However,":[46],"measurement":[48],"methods":[49,115],"issue":[52],"that":[53],"projection":[55],"pattern":[56],"easily":[58],"affected":[59],"by":[60,81,104],"texture":[62,97,138],"target":[65,83],"object":[66],"its":[68],"background.":[69],"Furthermore,":[70],"background":[71,101],"subtraction":[72],"be":[74],"inaccurate":[75],"due":[76],"to":[77,92,116,137],"shadow":[79],"cast":[80,140],"object.":[84],"In":[85],"this":[86],"paper,":[87],"we":[88,120],"propose":[89],"method":[91],"solve":[93],"these":[94,114],"issues":[95],"estimation":[98],"online":[100],"synthesis":[102],"techniques,":[103],"relying":[105],"on":[106],"dictionary":[108],"pre-captured":[110],"images.":[111],"By":[112],"applying":[113],"our":[117,126],"multi-view":[118],"pro-cams,":[119],"demonstrate":[122],"robustness":[124],"approach":[127],"objects,":[133],"with":[134],"reduced":[135],"sensitivity":[136],"shadows.":[141]},"counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}