{"id":"https://openalex.org/W4390263769","doi":"https://doi.org/10.1007/s11263-023-01964-x","title":"Deep Depth from Focal Stack with Defocus Model for Camera-Setting Invariance","display_name":"Deep Depth from Focal Stack with Defocus Model for Camera-Setting Invariance","publication_year":2023,"publication_date":"2023-12-27","ids":{"openalex":"https://openalex.org/W4390263769","doi":"https://doi.org/10.1007/s11263-023-01964-x"},"language":"en","primary_location":{"id":"doi:10.1007/s11263-023-01964-x","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11263-023-01964-x","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11263-023-01964-x.pdf","source":{"id":"https://openalex.org/S25538012","display_name":"International Journal of Computer Vision","issn_l":"0920-5691","issn":["0920-5691","1573-1405"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Vision","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s11263-023-01964-x.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054254614","display_name":"Yuki Fujimura","orcid":"https://orcid.org/0000-0002-7225-8452"},"institutions":[{"id":"https://openalex.org/I75917431","display_name":"Nara Institute of Science and Technology","ror":"https://ror.org/05bhada84","country_code":"JP","type":"education","lineage":["https://openalex.org/I75917431"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Yuki Fujimura","raw_affiliation_strings":["Graduate School of Science and Technology, Nara Institute of Science and Technology, 8916-5 Takayama-cho, Ikoma, Nara, 630-0192, Japan"],"raw_orcid":"https://orcid.org/0000-0002-7225-8452","affiliations":[{"raw_affiliation_string":"Graduate School of Science and Technology, Nara Institute of Science and Technology, 8916-5 Takayama-cho, Ikoma, Nara, 630-0192, Japan","institution_ids":["https://openalex.org/I75917431"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009968486","display_name":"Masaaki Iiyama","orcid":"https://orcid.org/0000-0002-7715-3078"},"institutions":[{"id":"https://openalex.org/I171494771","display_name":"Shiga University","ror":"https://ror.org/01vvhy971","country_code":"JP","type":"education","lineage":["https://openalex.org/I171494771"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masaaki Iiyama","raw_affiliation_strings":["Faculty of Data Science, Shiga University, 1-1-1 Banba, Hikone, Shiga, 522-8522, Japan"],"raw_orcid":"https://orcid.org/0000-0002-7715-3078","affiliations":[{"raw_affiliation_string":"Faculty of Data Science, Shiga University, 1-1-1 Banba, Hikone, Shiga, 522-8522, Japan","institution_ids":["https://openalex.org/I171494771"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089280934","display_name":"Takuya Funatomi","orcid":"https://orcid.org/0000-0001-5588-5932"},"institutions":[{"id":"https://openalex.org/I75917431","display_name":"Nara Institute of Science and Technology","ror":"https://ror.org/05bhada84","country_code":"JP","type":"education","lineage":["https://openalex.org/I75917431"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takuya Funatomi","raw_affiliation_strings":["Graduate School of Science and Technology, Nara Institute of Science and Technology, 8916-5 Takayama-cho, Ikoma, Nara, 630-0192, Japan"],"raw_orcid":"https://orcid.org/0000-0001-5588-5932","affiliations":[{"raw_affiliation_string":"Graduate School of Science and Technology, Nara Institute of Science and Technology, 8916-5 Takayama-cho, Ikoma, Nara, 630-0192, Japan","institution_ids":["https://openalex.org/I75917431"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045819127","display_name":"Yasuhiro Mukaigawa","orcid":"https://orcid.org/0000-0001-8689-3724"},"institutions":[{"id":"https://openalex.org/I75917431","display_name":"Nara Institute of Science and Technology","ror":"https://ror.org/05bhada84","country_code":"JP","type":"education","lineage":["https://openalex.org/I75917431"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yasuhiro Mukaigawa","raw_affiliation_strings":["Graduate School of Science and Technology, Nara Institute of Science and Technology, 8916-5 Takayama-cho, Ikoma, Nara, 630-0192, Japan"],"raw_orcid":"https://orcid.org/0000-0001-8689-3724","affiliations":[{"raw_affiliation_string":"Graduate School of Science and Technology, Nara Institute of Science and Technology, 8916-5 Takayama-cho, Ikoma, Nara, 630-0192, Japan","institution_ids":["https://openalex.org/I75917431"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5054254614"],"corresponding_institution_ids":["https://openalex.org/I75917431"],"apc_list":{"value":2890,"currency":"EUR","value_usd":3690},"apc_paid":{"value":2890,"currency":"EUR","value_usd":3690},"fwci":1.9485,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.88134193,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"132","issue":"6","first_page":"1970","last_page":"1985"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9998999834060669,"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":0.9990000128746033,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9861000180244446,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.760185718536377},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6903603076934814},{"id":"https://openalex.org/keywords/focal-length","display_name":"Focal length","score":0.608644962310791},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5807486772537231},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5588875412940979},{"id":"https://openalex.org/keywords/depth-map","display_name":"Depth map","score":0.5512710809707642},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4570302367210388},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.4201550781726837},{"id":"https://openalex.org/keywords/stack","display_name":"Stack (abstract data type)","score":0.41800814867019653},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3424850106239319},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3226180970668793},{"id":"https://openalex.org/keywords/lens","display_name":"Lens (geology)","score":0.12353196740150452},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.10909786820411682}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.760185718536377},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6903603076934814},{"id":"https://openalex.org/C82552819","wikidata":"https://www.wikidata.org/wiki/Q193540","display_name":"Focal length","level":3,"score":0.608644962310791},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5807486772537231},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5588875412940979},{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.5512710809707642},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4570302367210388},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.4201550781726837},{"id":"https://openalex.org/C9395851","wikidata":"https://www.wikidata.org/wiki/Q177929","display_name":"Stack (abstract data type)","level":2,"score":0.41800814867019653},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3424850106239319},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3226180970668793},{"id":"https://openalex.org/C15336307","wikidata":"https://www.wikidata.org/wiki/Q1766051","display_name":"Lens (geology)","level":2,"score":0.12353196740150452},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.10909786820411682},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s11263-023-01964-x","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11263-023-01964-x","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11263-023-01964-x.pdf","source":{"id":"https://openalex.org/S25538012","display_name":"International Journal of Computer Vision","issn_l":"0920-5691","issn":["0920-5691","1573-1405"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Vision","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s11263-023-01964-x","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11263-023-01964-x","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11263-023-01964-x.pdf","source":{"id":"https://openalex.org/S25538012","display_name":"International Journal of Computer Vision","issn_l":"0920-5691","issn":["0920-5691","1573-1405"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Vision","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5662276232","display_name":null,"funder_award_id":"22K17911","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4390263769.pdf"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W125693051","https://openalex.org/W153034902","https://openalex.org/W1686810756","https://openalex.org/W1804464592","https://openalex.org/W1923779427","https://openalex.org/W1965475047","https://openalex.org/W1999671454","https://openalex.org/W2046155154","https://openalex.org/W2138821028","https://openalex.org/W2171740948","https://openalex.org/W2259424905","https://openalex.org/W2536392346","https://openalex.org/W2560474170","https://openalex.org/W2583638424","https://openalex.org/W2604231069","https://openalex.org/W2736613185","https://openalex.org/W2745610371","https://openalex.org/W2802922942","https://openalex.org/W2889976030","https://openalex.org/W2892529542","https://openalex.org/W2961343177","https://openalex.org/W2962793285","https://openalex.org/W2962793481","https://openalex.org/W2963782415","https://openalex.org/W2963911235","https://openalex.org/W2964009301","https://openalex.org/W2964014568","https://openalex.org/W2981612893","https://openalex.org/W3034582814","https://openalex.org/W3034901835","https://openalex.org/W3081167590","https://openalex.org/W3166512471","https://openalex.org/W3167090845","https://openalex.org/W3170262190","https://openalex.org/W3194958036","https://openalex.org/W4236109607","https://openalex.org/W4312522806","https://openalex.org/W6631190155","https://openalex.org/W6736708193","https://openalex.org/W6785489703","https://openalex.org/W6800318590"],"related_works":["https://openalex.org/W2380576232","https://openalex.org/W2937054111","https://openalex.org/W2066223521","https://openalex.org/W373327546","https://openalex.org/W2058958858","https://openalex.org/W1835805572","https://openalex.org/W2321534397","https://openalex.org/W2148243540","https://openalex.org/W2077601556","https://openalex.org/W2013178899"],"abstract_inverted_index":{"Abstract":[0],"We":[1],"propose":[2],"deep":[3],"depth":[4,31,44,68,105],"from":[5],"focal":[6,12,53],"stack":[7,13],"(DDFS),":[8],"which":[9],"takes":[10,82],"a":[11,17,27,66,83,136],"as":[14,50,87],"input":[15,88],"of":[16,36,123],"neural":[18],"network":[19],"for":[20,30,89],"estimating":[21],"scene":[22,43,93],"depth.":[23],"Defocus":[24],"blur":[25,38],"is":[26,133],"useful":[28],"cue":[29],"estimation.":[32],"However,":[33],"the":[34,37,90,121],"size":[35],"depends":[39],"on":[40],"not":[41],"only":[42],"but":[45],"also":[46,128],"camera":[47,71,98,109],"settings":[48,72,110],"such":[49],"focus":[51],"distance,":[52],"length,":[54],"and":[55,77,97,100,113],"f-number.":[56],"Current":[57],"learning-based":[58],"methods":[59],"without":[60],"any":[61],"defocus":[62,95],"models":[63],"cannot":[64],"estimate":[65],"correct":[67],"map":[69],"if":[70],"are":[73],"different":[74,108],"at":[75,111],"training":[76,112],"test":[78,114],"times.":[79,115],"Our":[80],"method":[81,132],"plane":[84],"sweep":[85],"volume":[86],"constraint":[91],"between":[92],"depth,":[94],"images,":[96],"settings,":[99],"this":[101],"intermediate":[102],"representation":[103],"enables":[104],"estimation":[106],"with":[107],"This":[116],"camera-setting":[117],"invariance":[118],"can":[119],"enhance":[120],"applicability":[122],"DDFS.":[124],"The":[125],"experimental":[126],"results":[127],"indicate":[129],"that":[130],"our":[131],"robust":[134],"against":[135],"synthetic-to-real":[137],"domain":[138],"gap.":[139]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-13T06:13:01.061226","created_date":"2025-10-10T00:00:00"}