{"id":"https://openalex.org/W2962861127","doi":"https://doi.org/10.1109/isie.2018.8433651","title":"Convolutional Neural Network-Based Regression for Depth Prediction in Digital Holography","display_name":"Convolutional Neural Network-Based Regression for Depth Prediction in Digital Holography","publication_year":2018,"publication_date":"2018-06-01","ids":{"openalex":"https://openalex.org/W2962861127","doi":"https://doi.org/10.1109/isie.2018.8433651","mag":"2962861127"},"language":"en","primary_location":{"id":"doi:10.1109/isie.2018.8433651","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isie.2018.8433651","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 27th International Symposium on Industrial Electronics (ISIE)","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/A5043329297","display_name":"Tomoyoshi Shimobaba","orcid":"https://orcid.org/0000-0003-1638-7695"},"institutions":[{"id":"https://openalex.org/I159385669","display_name":"Chiba University","ror":"https://ror.org/01hjzeq58","country_code":"JP","type":"education","lineage":["https://openalex.org/I159385669"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tomoyoshi Shimobaba","raw_affiliation_strings":["Graduate School of Engineering, Chiba University, Inage-ku, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Chiba University, Inage-ku, Japan","institution_ids":["https://openalex.org/I159385669"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031873427","display_name":"Takashi Kakue","orcid":"https://orcid.org/0000-0002-7607-0000"},"institutions":[{"id":"https://openalex.org/I159385669","display_name":"Chiba University","ror":"https://ror.org/01hjzeq58","country_code":"JP","type":"education","lineage":["https://openalex.org/I159385669"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takashi Kakue","raw_affiliation_strings":["Graduate School of Engineering, Chiba University, Inage-ku, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Chiba University, Inage-ku, Japan","institution_ids":["https://openalex.org/I159385669"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035089723","display_name":"Tomoyoshi Ito","orcid":"https://orcid.org/0000-0002-6933-0986"},"institutions":[{"id":"https://openalex.org/I159385669","display_name":"Chiba University","ror":"https://ror.org/01hjzeq58","country_code":"JP","type":"education","lineage":["https://openalex.org/I159385669"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tomoyoshi Ito","raw_affiliation_strings":["Graduate School of Engineering, Chiba University, Inage-ku, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Chiba University, Inage-ku, Japan","institution_ids":["https://openalex.org/I159385669"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.3844,"has_fulltext":false,"cited_by_count":46,"citation_normalized_percentile":{"value":0.89712515,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1323","last_page":"1326"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11897","display_name":"Digital Holography and Microscopy","score":1.0,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11897","display_name":"Digital Holography and Microscopy","score":1.0,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9994999766349792,"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/T11408","display_name":"Advanced Optical Imaging Technologies","score":0.9990000128746033,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7804470062255859},{"id":"https://openalex.org/keywords/holography","display_name":"Holography","score":0.7779244184494019},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7556006908416748},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7274504899978638},{"id":"https://openalex.org/keywords/digital-holography","display_name":"Digital holography","score":0.7060843706130981},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.6476684808731079},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5790405869483948},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5566288232803345},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4924720227718353},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4689929783344269},{"id":"https://openalex.org/keywords/depth-map","display_name":"Depth map","score":0.4575057029724121},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.41983261704444885},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3922240734100342},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.20372360944747925},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1442493498325348},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.061968713998794556},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.05828404426574707}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7804470062255859},{"id":"https://openalex.org/C187590223","wikidata":"https://www.wikidata.org/wiki/Q527628","display_name":"Holography","level":2,"score":0.7779244184494019},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7556006908416748},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7274504899978638},{"id":"https://openalex.org/C2776640645","wikidata":"https://www.wikidata.org/wiki/Q1224906","display_name":"Digital holography","level":3,"score":0.7060843706130981},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.6476684808731079},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5790405869483948},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5566288232803345},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4924720227718353},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4689929783344269},{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.4575057029724121},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.41983261704444885},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3922240734100342},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.20372360944747925},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1442493498325348},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.061968713998794556},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.05828404426574707},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isie.2018.8433651","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isie.2018.8433651","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 27th International Symposium on Industrial Electronics (ISIE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1576445103","https://openalex.org/W1637066710","https://openalex.org/W1658472922","https://openalex.org/W1970523722","https://openalex.org/W1983348509","https://openalex.org/W1983568931","https://openalex.org/W2036025361","https://openalex.org/W2070222906","https://openalex.org/W2088297512","https://openalex.org/W2163370365","https://openalex.org/W2164649855","https://openalex.org/W2167193873","https://openalex.org/W2258475035","https://openalex.org/W2563377173","https://openalex.org/W2607387251","https://openalex.org/W2612688942","https://openalex.org/W2617064674","https://openalex.org/W2620175536","https://openalex.org/W2725960257","https://openalex.org/W2740325522","https://openalex.org/W2758802558","https://openalex.org/W2768807990","https://openalex.org/W2792179230","https://openalex.org/W3099718943","https://openalex.org/W3102566867","https://openalex.org/W3103687350","https://openalex.org/W6738262109","https://openalex.org/W6742349798"],"related_works":["https://openalex.org/W2707254711","https://openalex.org/W2520519067","https://openalex.org/W4381305349","https://openalex.org/W429585224","https://openalex.org/W4321451825","https://openalex.org/W4312069111","https://openalex.org/W3130764181","https://openalex.org/W2028617719","https://openalex.org/W2057731433","https://openalex.org/W2378060739"],"abstract_inverted_index":{"Digital":[0],"holography":[1],"enables":[2],"us":[3],"to":[4,22],"reconstruct":[5],"objects":[6],"in":[7,31],"three-dimensional":[8],"space":[9],"from":[10,64,100],"holograms":[11],"captured":[12],"by":[13],"an":[14,53],"imaging":[15],"device.":[16],"For":[17],"the":[18,24,28,47,50,73,88,94],"reconstruction,":[19],"we":[20,36],"need":[21],"know":[23],"depth":[25,38,51,62,76,81,95],"position":[26,96],"of":[27,52,87],"recoded":[29],"object":[30,54],"advance.":[32],"In":[33,46],"this":[34],"study,":[35],"propose":[37],"prediction":[39],"using":[40,67],"convolutional":[41],"neural":[42],"network":[43],"(CNN)-based":[44],"regression.":[45],"previous":[48],"researches,":[49],"was":[55],"estimated":[56],"through":[57],"reconstructed":[58],"images":[59],"at":[60],"different":[61],"positions":[63],"a":[65,68,80],"hologram":[66],"certain":[69],"metric":[70],"that":[71],"indicates":[72],"most":[74],"focused":[75],"position;":[77],"however,":[78],"such":[79],"search":[82],"is":[83],"time-consuming.":[84],"The":[85],"CNN":[86],"proposed":[89],"method":[90],"can":[91],"directly":[92],"predict":[93],"with":[97],"millimeter":[98],"precision":[99],"holograms.":[101]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}