{"id":"https://openalex.org/W3009831372","doi":"https://doi.org/10.1109/gcce46687.2019.9015415","title":"Generative Adversarial Network based Image Blur Compensation for Projection-Based Mixed Reality","display_name":"Generative Adversarial Network based Image Blur Compensation for Projection-Based Mixed Reality","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W3009831372","doi":"https://doi.org/10.1109/gcce46687.2019.9015415","mag":"3009831372"},"language":"en","primary_location":{"id":"doi:10.1109/gcce46687.2019.9015415","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcce46687.2019.9015415","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 8th Global Conference on Consumer Electronics (GCCE)","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/A5059371620","display_name":"Yuta Kageyama","orcid":"https://orcid.org/0000-0001-6207-6471"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuta Kageyama","raw_affiliation_strings":["Graduate School of Engineering Science, Osaka University, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering Science, Osaka University, Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029572039","display_name":"Mariko Isogawa","orcid":"https://orcid.org/0000-0001-9560-0276"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Mariko Isogawa","raw_affiliation_strings":["Graduate School of Engineering Science, Osaka University, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering Science, Osaka University, Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053408297","display_name":"Daisuke Iwai","orcid":"https://orcid.org/0000-0002-3493-5635"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Daisuke Iwai","raw_affiliation_strings":["Graduate School of Engineering Science, Osaka University, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering Science, Osaka University, Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048671334","display_name":"Kosuke Sato","orcid":"https://orcid.org/0000-0003-1429-9990"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kosuke Sato","raw_affiliation_strings":["Graduate School of Engineering Science, Osaka University, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering Science, Osaka University, Japan","institution_ids":["https://openalex.org/I98285908"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1017,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.48734785,"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":"227","last_page":"228"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9983000159263611,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9983000159263611,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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":0.9933000206947327,"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":0.7419027090072632},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.741847574710846},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6813964247703552},{"id":"https://openalex.org/keywords/compensation","display_name":"Compensation (psychology)","score":0.6621226072311401},{"id":"https://openalex.org/keywords/projector","display_name":"Projector","score":0.6615486741065979},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6485452651977539},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.617856502532959},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.5517897605895996},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.5011892318725586},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4760410785675049},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.4663637578487396},{"id":"https://openalex.org/keywords/augmented-reality","display_name":"Augmented reality","score":0.460682213306427},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2589186429977417},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1640244424343109}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7419027090072632},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.741847574710846},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6813964247703552},{"id":"https://openalex.org/C2780023022","wikidata":"https://www.wikidata.org/wiki/Q1338171","display_name":"Compensation (psychology)","level":2,"score":0.6621226072311401},{"id":"https://openalex.org/C2776865275","wikidata":"https://www.wikidata.org/wiki/Q311666","display_name":"Projector","level":2,"score":0.6615486741065979},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6485452651977539},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.617856502532959},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.5517897605895996},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.5011892318725586},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4760410785675049},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.4663637578487396},{"id":"https://openalex.org/C153715457","wikidata":"https://www.wikidata.org/wiki/Q254183","display_name":"Augmented reality","level":2,"score":0.460682213306427},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2589186429977417},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1640244424343109},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"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/gcce46687.2019.9015415","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcce46687.2019.9015415","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 8th Global Conference on Consumer Electronics (GCCE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.44999998807907104,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W2116451263","https://openalex.org/W2963073614","https://openalex.org/W4320013936"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W2482350142","https://openalex.org/W4246396837","https://openalex.org/W3126451824","https://openalex.org/W1561927205","https://openalex.org/W2172197285","https://openalex.org/W3191453585","https://openalex.org/W4297672492","https://openalex.org/W2800139814","https://openalex.org/W4385421777"],"abstract_inverted_index":{"Projection-based":[0],"mixed":[1],"reality":[2],"superimposes":[3],"an":[4,43,69],"image":[5,45,67,71],"on":[6],"a":[7,11,15,58,73],"real":[8],"object":[9],"by":[10],"projector.":[12],"There":[13],"is":[14],"problem":[16],"that":[17,63],"spatially":[18],"nonuniform":[19],"blurring":[20],"occurs":[21],"in":[22],"the":[23,34,65],"projected":[24,74],"result":[25],"due":[26],"to":[27,42,56],"defocus":[28],"blur":[29,40],"and":[30,72],"subsurface":[31],"scattering.":[32],"As":[33],"solution,":[35],"some":[36],"methods":[37],"of":[38],"applying":[39],"compensation":[41,66],"input":[44,70],"before":[46],"projecting":[47],"have":[48],"been":[49],"studied.":[50],"In":[51],"this":[52],"paper,":[53],"we":[54],"propose":[55],"use":[57],"generative":[59],"adversarial":[60],"network":[61],"(GAN)":[62],"computes":[64],"from":[68],"result.":[75]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}