{"id":"https://openalex.org/W2752601503","doi":"https://doi.org/10.3233/jcm-170754","title":"A confidence-aware depth estimation method for light-field cameras based on multiple cues","display_name":"A confidence-aware depth estimation method for light-field cameras based on multiple cues","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2752601503","doi":"https://doi.org/10.3233/jcm-170754","mag":"2752601503"},"language":"en","primary_location":{"id":"doi:10.3233/jcm-170754","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jcm-170754","pdf_url":null,"source":{"id":"https://openalex.org/S2765058733","display_name":"Journal of Computational Methods in Sciences and Engineering","issn_l":"1472-7978","issn":["1472-7978","1875-8983"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational Methods in Sciences and Engineering","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/A5067452827","display_name":"Lili Lin","orcid":"https://orcid.org/0000-0001-8196-3244"},"institutions":[{"id":"https://openalex.org/I75059550","display_name":"Zhejiang Gongshang University","ror":"https://ror.org/0569mkk41","country_code":"CN","type":"education","lineage":["https://openalex.org/I75059550"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lili Lin","raw_affiliation_strings":["College of Information and Electronic Engineering, Zhejiang Gongshang University, Hangzhou 310018, Zhejiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information and Electronic Engineering, Zhejiang Gongshang University, Hangzhou 310018, Zhejiang, China","institution_ids":["https://openalex.org/I75059550"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030351224","display_name":"Rong Wang","orcid":"https://orcid.org/0000-0001-9240-6726"},"institutions":[{"id":"https://openalex.org/I75059550","display_name":"Zhejiang Gongshang University","ror":"https://ror.org/0569mkk41","country_code":"CN","type":"education","lineage":["https://openalex.org/I75059550"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rong Wang","raw_affiliation_strings":["College of Information and Electronic Engineering, Zhejiang Gongshang University, Hangzhou 310018, Zhejiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information and Electronic Engineering, Zhejiang Gongshang University, Hangzhou 310018, Zhejiang, China","institution_ids":["https://openalex.org/I75059550"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020050758","display_name":"Wenhui Zhou","orcid":"https://orcid.org/0000-0003-2216-8878"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenhui Zhou","raw_affiliation_strings":["School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou 310018, Zhejiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou 310018, Zhejiang, China","institution_ids":["https://openalex.org/I50760025"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5067452827"],"corresponding_institution_ids":["https://openalex.org/I75059550"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12209473,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"17","issue":"4","first_page":"705","last_page":"713"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9994999766349792,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9966999888420105,"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":0.7235729694366455},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6905242204666138},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6032137274742126},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.587727963924408},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5098270773887634},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.5070939064025879},{"id":"https://openalex.org/keywords/depth-of-field","display_name":"Depth of field","score":0.43391144275665283},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.43140965700149536},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.41314345598220825},{"id":"https://openalex.org/keywords/depth-map","display_name":"Depth map","score":0.4119083285331726},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34849095344543457},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34296858310699463},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.21085134148597717},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.09031817317008972}],"concepts":[{"id":"https://openalex.org/C48983235","wikidata":"https://www.wikidata.org/wiki/Q593161","display_name":"Light field","level":2,"score":0.7235729694366455},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6905242204666138},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6032137274742126},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.587727963924408},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5098270773887634},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.5070939064025879},{"id":"https://openalex.org/C183072630","wikidata":"https://www.wikidata.org/wiki/Q215932","display_name":"Depth of field","level":2,"score":0.43391144275665283},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.43140965700149536},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.41314345598220825},{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.4119083285331726},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34849095344543457},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34296858310699463},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.21085134148597717},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.09031817317008972},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jcm-170754","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jcm-170754","pdf_url":null,"source":{"id":"https://openalex.org/S2765058733","display_name":"Journal of Computational Methods in Sciences and Engineering","issn_l":"1472-7978","issn":["1472-7978","1875-8983"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational Methods in Sciences and Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6100000143051147,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1578904040","https://openalex.org/W1914596733","https://openalex.org/W1971410590","https://openalex.org/W1997296225","https://openalex.org/W2005482491","https://openalex.org/W2012451647","https://openalex.org/W2023747871","https://openalex.org/W2067122986","https://openalex.org/W2067191022","https://openalex.org/W2079176966","https://openalex.org/W2105198794","https://openalex.org/W2122069218","https://openalex.org/W2123042594","https://openalex.org/W2137313943","https://openalex.org/W2149694199","https://openalex.org/W2211024058","https://openalex.org/W2288907727","https://openalex.org/W2337816447","https://openalex.org/W2419340610","https://openalex.org/W3184458996","https://openalex.org/W6680152570","https://openalex.org/W6703485091"],"related_works":["https://openalex.org/W2756963361","https://openalex.org/W2771003565","https://openalex.org/W4229030109","https://openalex.org/W2050501141","https://openalex.org/W2143789285","https://openalex.org/W2580863105","https://openalex.org/W2784261531","https://openalex.org/W2920889653","https://openalex.org/W2288907727","https://openalex.org/W2008308540"],"abstract_inverted_index":{"Depth":[0],"map":[1],"estimation":[2,42],"from":[3],"a":[4,37,81],"light-field":[5,25,32],"camera":[6],"is":[7,59,84,91,116],"an":[8,107],"interesting":[9],"and":[10,71,96],"challenging":[11],"problem.":[12],"Recent":[13],"works":[14],"have":[15],"demonstrated":[16],"many":[17],"fascinating":[18],"results":[19,127],"based":[20],"on":[21,44,68],"different":[22,78],"cues":[23,122],"in":[24,61,138],"images.":[26],"According":[27],"to":[28,102,118],"the":[29,45,53,74,87,94,139],"characteristics":[30],"of":[31,47,56,80],"spatial":[33],"refocusing,":[34],"we":[35],"introduced":[36,92],"confidence":[38,89],"-aware":[39],"dept":[40],"h":[41],"method":[43,131],"basis":[46],"multiple":[48],"cues.":[49,99],"In":[50,100],"this":[51],"paper,":[52],"focus/defocus":[54],"cue":[55,76],"focal":[57],"stack":[58],"estimated":[60],"Discrete":[62],"Cosine":[63],"Transform":[64],"(DCT)":[65],"domain.":[66],"Based":[67],"photo-consistency":[69],"metric":[70],"relevance":[72],"analysis,":[73],"correspondence":[75],"between":[77],"rays":[79],"refocusing":[82],"pixel":[83],"extracted.":[85],"Then":[86],"edge":[88],"analysis":[90],"as":[93],"depth":[95,105,135,140],"color":[97],"discontinuity":[98],"order":[101],"get":[103],"refined":[104],"map,":[106],"iterative":[108],"graph":[109],"cut":[110],"optimization":[111],"framework":[112],"with":[113,123],"label":[114],"cost":[115],"used":[117],"integrate":[119],"these":[120],"aforementioned":[121],"their":[124],"confidences.":[125],"Experimental":[126],"showed":[128],"that":[129],"our":[130],"can":[132],"achieve":[133],"accurate":[134],"maps,":[136],"especially":[137],"discontinuous":[141],"areas.":[142]},"counts_by_year":[],"updated_date":"2026-04-22T06:01:30.510260","created_date":"2025-10-10T00:00:00"}
