{"id":"https://openalex.org/W2738092267","doi":"https://doi.org/10.1109/icra.2017.7989592","title":"Learning-based feature extraction for active 3D scan with reducing color crosstalk of multiple pattern projections","display_name":"Learning-based feature extraction for active 3D scan with reducing color crosstalk of multiple pattern projections","publication_year":2017,"publication_date":"2017-05-01","ids":{"openalex":"https://openalex.org/W2738092267","doi":"https://doi.org/10.1109/icra.2017.7989592","mag":"2738092267"},"language":"en","primary_location":{"id":"doi:10.1109/icra.2017.7989592","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra.2017.7989592","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"},"type":"conference-paper","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/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":["Intelligent Systems Research Institute, National Institute of Advanced Industrial Science and Technology, Tsukuba, Ibaraki, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligent Systems Research Institute, National Institute of Advanced Industrial Science and Technology, Tsukuba, Ibaraki, Japan","institution_ids":["https://openalex.org/I73613424"]}]},{"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":["Graduate School of Information Science, Hiroshima City University, Hiroshima, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science, Hiroshima City University, Hiroshima, Japan","institution_ids":["https://openalex.org/I57930482"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036825546","display_name":"Akiko Matsumoto","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":false,"raw_author_name":"Akiko Matsumoto","raw_affiliation_strings":["Information and Biomedical Engineering, Kagoshima University, Kagoshima, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information and Biomedical Engineering, Kagoshima University, Kagoshima, Japan","institution_ids":["https://openalex.org/I107139324"]}]},{"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":["Information and Biomedical Engineering, Kagoshima University, Kagoshima, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information and Biomedical Engineering, Kagoshima University, Kagoshima, Japan","institution_ids":["https://openalex.org/I107139324"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5074","last_page":"5080"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9998000264167786,"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":0.9998000264167786,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9998000264167786,"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7950823903083801},{"id":"https://openalex.org/keywords/projector","display_name":"Projector","score":0.7706695795059204},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7687070369720459},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6124987006187439},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5368075966835022},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.439005970954895},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.43199974298477173},{"id":"https://openalex.org/keywords/crosstalk","display_name":"Crosstalk","score":0.4206539988517761},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.4187760651111603},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.0940450131893158},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0820760428905487}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7950823903083801},{"id":"https://openalex.org/C2776865275","wikidata":"https://www.wikidata.org/wiki/Q311666","display_name":"Projector","level":2,"score":0.7706695795059204},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7687070369720459},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6124987006187439},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5368075966835022},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.439005970954895},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.43199974298477173},{"id":"https://openalex.org/C169822122","wikidata":"https://www.wikidata.org/wiki/Q230187","display_name":"Crosstalk","level":2,"score":0.4206539988517761},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.4187760651111603},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0940450131893158},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0820760428905487},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icra.2017.7989592","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra.2017.7989592","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1573640878","https://openalex.org/W1955055330","https://openalex.org/W1970079562","https://openalex.org/W1980081806","https://openalex.org/W1988544952","https://openalex.org/W1996276464","https://openalex.org/W2006670629","https://openalex.org/W2010240257","https://openalex.org/W2055765158","https://openalex.org/W2097390934","https://openalex.org/W2112796928","https://openalex.org/W2121253532","https://openalex.org/W2144041313","https://openalex.org/W2145134461","https://openalex.org/W2149484421","https://openalex.org/W2153467209","https://openalex.org/W2165486347","https://openalex.org/W2165949176","https://openalex.org/W2200673220","https://openalex.org/W2434421859","https://openalex.org/W4250833804","https://openalex.org/W6634295710","https://openalex.org/W6647526354","https://openalex.org/W6681399004"],"related_works":["https://openalex.org/W2366989203","https://openalex.org/W2013995543","https://openalex.org/W3198360760","https://openalex.org/W2388454722","https://openalex.org/W2373608992","https://openalex.org/W2918931022","https://openalex.org/W2547954852","https://openalex.org/W4388488814","https://openalex.org/W2354291545","https://openalex.org/W1986708389"],"abstract_inverted_index":{"3D":[0,189],"reconstruction":[1],"methods":[2],"based":[3,60],"on":[4,104],"active":[5],"stereo":[6],"technique":[7],"have":[8,44],"been":[9,45],"widely":[10],"used":[11,77],"for":[12,78,119,165],"many":[13,56],"practical":[14],"systems.":[15],"Many":[16],"of":[17,38,87,96,108],"these":[18,145],"systems":[19,32,54],"are":[20,76,124,129,196],"configured":[21],"with":[22],"a":[23,27,68,102,153],"single":[24,28],"camera":[25],"and":[26,135],"projector.":[29,167],"Since":[30],"such":[31,120],"can":[33],"only":[34],"capture":[35],"one":[36],"side":[37],"the":[39,49,97,109,113,132,175],"target":[40],"object,":[41],"several":[42,117],"attempts":[43],"conducted":[46],"to":[47,131,137,159,173],"enlarge":[48],"captured":[50,114],"area,":[51],"especially":[52],"multi-projector":[53,59],"attract":[55],"researchers.":[57],"For":[58],"systems,":[61],"overlap":[62],"between":[63],"multiple":[64,194],"pattern":[65,111,163],"projections":[66],"is":[67,83,93,157,171],"serious":[69],"problem.":[70],"Even":[71],"if":[72],"different":[73,179],"color":[74,88,122,176],"channels":[75],"each":[79,166],"projector,":[80],"complete":[81],"separation":[82],"not":[84],"possible":[85],"because":[86,126],"crosstalks.":[89],"Another":[90],"open":[91],"problem":[92],"decoding":[94],"errors":[95],"projected":[98,110],"patterns,":[99],"which":[100],"causes":[101],"failure":[103],"extracting":[105],"positional":[106],"information":[107],"form":[112],"image.":[115],"Among":[116],"reasons":[118],"errors,":[121],"crosstalks":[123,177],"crucial":[125],"their":[127],"features":[128,164],"similar":[130],"main":[133],"signal":[134],"difficult":[136],"be":[138],"decomposed.":[139],"In":[140,168],"this":[141,182],"paper,":[142],"we":[143,185],"solve":[144],"problems":[146],"by":[147],"utilizing":[148],"machine":[149],"learning":[150],"techniques":[151],"where":[152,193],"convolutional":[154],"neural":[155],"network":[156],"trained":[158,172],"extract":[160],"low":[161],"dimensional":[162],"addition,":[169],"it":[170],"suppress":[174],"from":[178,191],"projectors.":[180],"Using":[181],"new":[183],"technique,":[184],"succeeded":[186],"in":[187],"reconstructing":[188],"shapes":[190],"images":[192],"patterns":[195],"overlapped.":[197]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
