{"id":"https://openalex.org/W2977052580","doi":"https://doi.org/10.2352/issn.2470-1173.2019.11.ipas-270","title":"Depth from stacked light field images using generative adversarial network","display_name":"Depth from stacked light field images using generative adversarial network","publication_year":2019,"publication_date":"2019-01-09","ids":{"openalex":"https://openalex.org/W2977052580","doi":"https://doi.org/10.2352/issn.2470-1173.2019.11.ipas-270","mag":"2977052580"},"language":"en","primary_location":{"id":"doi:10.2352/issn.2470-1173.2019.11.ipas-270","is_oa":false,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2019.11.ipas-270","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/A5023999077","display_name":"Ji-Hun Mun","orcid":"https://orcid.org/0000-0002-2037-7273"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Ji-Hun Mun","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5113842916","display_name":"Yo-Sung Ho","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yo-Sung Ho","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5023999077"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1031244,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"31","issue":"11","first_page":"270","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":1.0,"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":1.0,"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":0.9965000152587891,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.996399998664856,"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/light-field","display_name":"Light field","score":0.7699148654937744},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7394537925720215},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7282272577285767},{"id":"https://openalex.org/keywords/epipolar-geometry","display_name":"Epipolar geometry","score":0.7000477910041809},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6936661005020142},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.48596274852752686},{"id":"https://openalex.org/keywords/aperture","display_name":"Aperture (computer memory)","score":0.4758840799331665},{"id":"https://openalex.org/keywords/depth-map","display_name":"Depth map","score":0.465787798166275},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.45644810795783997},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4205872714519501},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.31637173891067505},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16134977340698242},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.13932064175605774}],"concepts":[{"id":"https://openalex.org/C48983235","wikidata":"https://www.wikidata.org/wiki/Q593161","display_name":"Light field","level":2,"score":0.7699148654937744},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7394537925720215},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7282272577285767},{"id":"https://openalex.org/C23379248","wikidata":"https://www.wikidata.org/wiki/Q200904","display_name":"Epipolar geometry","level":3,"score":0.7000477910041809},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6936661005020142},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.48596274852752686},{"id":"https://openalex.org/C78336883","wikidata":"https://www.wikidata.org/wiki/Q4779385","display_name":"Aperture (computer memory)","level":2,"score":0.4758840799331665},{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.465787798166275},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.45644810795783997},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4205872714519501},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.31637173891067505},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16134977340698242},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.13932064175605774},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2352/issn.2470-1173.2019.11.ipas-270","is_oa":false,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2019.11.ipas-270","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":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4385805064","https://openalex.org/W2929681741","https://openalex.org/W2594336302","https://openalex.org/W2787003719","https://openalex.org/W3209881651","https://openalex.org/W2744012867","https://openalex.org/W4292830147","https://openalex.org/W4390144983","https://openalex.org/W3098172517","https://openalex.org/W2920889653"],"abstract_inverted_index":{"The":[0,192],"estimated":[1],"depth":[2,39,51,88,105,198],"map":[3,40,52],"provides":[4],"valuable":[5],"information":[6],"in":[7,61,84,118,129],"many":[8,72,115,139],"computer":[9],"vision":[10],"applications":[11],"such":[12],"as":[13],"autonomous":[14],"driving,":[15],"semantic":[16],"segmentation":[17],"and":[18,31,66,87,98,187],"3D":[19],"object":[20],"reconstruction.":[21],"Since":[22,108],"the":[23,29,54,109,126,153,162,173,180,185,196],"light":[24,33,45,55,103,110,140,166,189],"field":[25,46,56,104,111,141,167,190],"camera":[26],"capture":[27],"both":[28],"spatial":[30,121],"angular":[32],"ray,":[34],"we":[35,94,123,160,178],"can":[36,124],"estimate":[37],"a":[38,50,59,81,96,119],"throughout":[41],"that":[42],"properties":[43],"of":[44,63,114,155,175],"image.":[47],"However,":[48,136],"estimating":[49],"from":[53],"image":[57,101,112],"has":[58],"limitation":[60],"term":[62],"short":[64],"baseline":[65],"low":[67],"resolution":[68],"issues.":[69],"Even":[70],"though":[71],"approach":[73],"have":[74,80],"been":[75],"developed,":[76],"but":[77],"they":[78],"still":[79],"clear":[82],"flaw":[83],"computation":[85],"cost":[86],"value":[89],"accuracy.":[90],"In":[91,169],"this":[92],"paper,":[93],"propose":[95],"network-based":[97],"epipolar":[99],"plane":[100],"(EPI)":[102],"estimation":[106,199],"technique.":[107],"consists":[113],"sub-aperture":[116,127,156],"images":[117,128,143,157],"2D":[120],"plane,":[122],"stack":[125],"different":[130],"directions":[131],"to":[132,147,171],"handle":[133],"occlusion":[134],"problem.":[135],"usually":[137],"used":[138],"subaperture":[142],"are":[144],"not":[145],"enough":[146],"construct":[148],"huge":[149],"datasets.":[150,168],"To":[151],"increase":[152],"number":[154],"for":[158],"stacking,":[159],"train":[161],"network":[163],"with":[164],"augmented":[165],"order":[170],"illustrate":[172],"effectiveness":[174],"our":[176],"approach,":[177],"perform":[179],"extensive":[181],"experimental":[182,193],"evaluation":[183],"through":[184],"synthetic":[186],"real":[188],"scene.":[191],"result":[194],"outperforms":[195],"other":[197],"techniques.":[200]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}