{"id":"https://openalex.org/W2894317039","doi":"https://doi.org/10.1109/tip.2018.2871753","title":"A Maximum Likelihood Approach for Depth Field Estimation Based on Epipolar Plane Images","display_name":"A Maximum Likelihood Approach for Depth Field Estimation Based on Epipolar Plane Images","publication_year":2018,"publication_date":"2018-09-24","ids":{"openalex":"https://openalex.org/W2894317039","doi":"https://doi.org/10.1109/tip.2018.2871753","mag":"2894317039","pmid":"https://pubmed.ncbi.nlm.nih.gov/30307857"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2018.2871753","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2018.2871753","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5010884586","display_name":"Alessandro Neri","orcid":null},"institutions":[{"id":"https://openalex.org/I119003972","display_name":"Roma Tre University","ror":"https://ror.org/05vf0dg29","country_code":"IT","type":"education","lineage":["https://openalex.org/I119003972"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Alessandro Neri","raw_affiliation_strings":["Universita degli Studi Roma Tre, Roma, Lazio, IT"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universita degli Studi Roma Tre, Roma, Lazio, IT","institution_ids":["https://openalex.org/I119003972"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028830723","display_name":"Marco Carli","orcid":"https://orcid.org/0000-0002-7489-3767"},"institutions":[{"id":"https://openalex.org/I119003972","display_name":"Roma Tre University","ror":"https://ror.org/05vf0dg29","country_code":"IT","type":"education","lineage":["https://openalex.org/I119003972"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Marco Carli","raw_affiliation_strings":["Universita degli Studi Roma Tre, Roma, Lazio, IT"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universita degli Studi Roma Tre, Roma, Lazio, IT","institution_ids":["https://openalex.org/I119003972"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044389627","display_name":"Federica Battisti","orcid":"https://orcid.org/0000-0002-0846-5879"},"institutions":[{"id":"https://openalex.org/I119003972","display_name":"Roma Tre University","ror":"https://ror.org/05vf0dg29","country_code":"IT","type":"education","lineage":["https://openalex.org/I119003972"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Federica Battisti","raw_affiliation_strings":["Universita degli Studi Roma Tre, Roma, Lazio, IT"],"raw_orcid":"https://orcid.org/0000-0002-0846-5879","affiliations":[{"raw_affiliation_string":"Universita degli Studi Roma Tre, Roma, Lazio, IT","institution_ids":["https://openalex.org/I119003972"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5010884586"],"corresponding_institution_ids":["https://openalex.org/I119003972"],"apc_list":null,"apc_paid":null,"fwci":0.6374,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.7485402,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"28","issue":"2","first_page":"827","last_page":"840"},"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":0.9998000264167786,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9987999796867371,"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/epipolar-geometry","display_name":"Epipolar geometry","score":0.8837389945983887},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.639396607875824},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6364032030105591},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5465542674064636},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5111685395240784},{"id":"https://openalex.org/keywords/depth-map","display_name":"Depth map","score":0.4838751554489136},{"id":"https://openalex.org/keywords/depth-of-field","display_name":"Depth of field","score":0.4820040762424469},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4268674850463867},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.4191233515739441},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.41573184728622437},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3671156167984009},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2917777895927429},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1978360414505005}],"concepts":[{"id":"https://openalex.org/C23379248","wikidata":"https://www.wikidata.org/wiki/Q200904","display_name":"Epipolar geometry","level":3,"score":0.8837389945983887},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.639396607875824},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6364032030105591},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5465542674064636},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5111685395240784},{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.4838751554489136},{"id":"https://openalex.org/C183072630","wikidata":"https://www.wikidata.org/wiki/Q215932","display_name":"Depth of field","level":2,"score":0.4820040762424469},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4268674850463867},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.4191233515739441},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.41573184728622437},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3671156167984009},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2917777895927429},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1978360414505005},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/tip.2018.2871753","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2018.2871753","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:30307857","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30307857","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null},{"id":"pmh:oai:iris.uniroma3.it:11590/347579","is_oa":false,"landing_page_url":"http://hdl.handle.net/11590/347579","pdf_url":null,"source":{"id":"https://openalex.org/S4377196120","display_name":"Iris (Roma Tre University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I119003972","host_organization_name":"Roma Tre University","host_organization_lineage":["https://openalex.org/I119003972"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:www.research.unipd.it:11577/3363414","is_oa":false,"landing_page_url":"http://hdl.handle.net/11577/3363414","pdf_url":null,"source":{"id":"https://openalex.org/S4306402547","display_name":"Padua Research Archive (University of Padova)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I138689650","host_organization_name":"University of Padua","host_organization_lineage":["https://openalex.org/I138689650"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W40486223","https://openalex.org/W1585668122","https://openalex.org/W1781337833","https://openalex.org/W1914596733","https://openalex.org/W1917434997","https://openalex.org/W1968872078","https://openalex.org/W2011802732","https://openalex.org/W2033959528","https://openalex.org/W2040088360","https://openalex.org/W2042687553","https://openalex.org/W2043408784","https://openalex.org/W2063466834","https://openalex.org/W2064586097","https://openalex.org/W2101248405","https://openalex.org/W2104974755","https://openalex.org/W2106403211","https://openalex.org/W2108992228","https://openalex.org/W2128359381","https://openalex.org/W2136733503","https://openalex.org/W2137313943","https://openalex.org/W2143050242","https://openalex.org/W2149694199","https://openalex.org/W2169363967","https://openalex.org/W2200825767","https://openalex.org/W2220872633","https://openalex.org/W2296677960","https://openalex.org/W2471061117","https://openalex.org/W2476625116","https://openalex.org/W2561377267","https://openalex.org/W2591697814","https://openalex.org/W2737842117","https://openalex.org/W2781645337","https://openalex.org/W6601678832","https://openalex.org/W6634891648","https://openalex.org/W6640128664","https://openalex.org/W6680152570","https://openalex.org/W6685059715"],"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/W2008308540","https://openalex.org/W2971759143","https://openalex.org/W2080890436","https://openalex.org/W2546839119","https://openalex.org/W2109378143"],"abstract_inverted_index":{"In":[0,30,77,167],"this":[1,78],"paper,":[2],"a":[3,36,41,47,97,164,194,199,214],"multi-resolution":[4,165],"method":[5,121],"for":[6],"depth":[7,75,130,170],"estimation":[8,127],"from":[9],"dense":[10],"image":[11],"arrays":[12],"is":[13,173,183],"presented.":[14],"Recent":[15],"progress":[16],"in":[17,40,60,150,157,175,193],"consumer":[18],"electronics":[19],"has":[20],"enabled":[21],"the":[22,52,56,63,82,102,105,112,123,129,139,145,160,169,179,189,203,210],"development":[23],"of":[24,35,46,55,62,104,128,159,188,202],"low":[25],"cost":[26,93],"hand-held":[27],"plenoptic":[28],"cameras.":[29],"these":[31],"systems,":[32],"multiple":[33],"views":[34,67],"scene":[37],"are":[38,192],"captured":[39],"single":[42],"shot":[43],"by":[44],"means":[45],"micro-lens":[48],"array":[49],"placed":[50],"on":[51,91,101,133],"focal":[53],"point":[54],"first":[57],"camera":[58],"lens,":[59],"front":[61],"imaging":[64],"sensor.":[65],"These":[66],"can":[68],"be":[69],"processed":[70],"jointly":[71],"to":[72,80,86,116,144],"obtain":[73],"accurate":[74],"maps.":[76],"contribution,":[79],"reduce":[81],"computational":[83,196],"complexity":[84,197],"associated":[85,143],"global":[87],"optimization":[88],"schemes":[89],"based":[90,100,132],"match":[92],"functions,":[94],"we":[95,162],"make":[96],"local":[98,124],"estimate":[99],"maximization":[103],"total":[106],"log-likelihood":[107],"spatial":[108],"density":[109],"aggregated":[110],"along":[111],"epipolar":[113,134],"lines":[114],"corresponding":[115],"each":[117],"view":[118],"pair.":[119],"This":[120],"includes":[122],"maximum":[125],"likelihood":[126],"field":[131],"plane":[135],"images.":[136],"To":[137],"face":[138],"potential":[140],"accuracy":[141,201],"losses":[142],"ambiguity":[146],"problem":[147],"that":[148,209],"arises":[149],"flat":[151],"surface":[152],"regions":[153,176],"while":[154],"preserving":[155],"bandwidth":[156],"correspondence":[158],"edges,":[161],"adopt":[163],"scheme.":[166],"practice,":[168],"map":[171],"resolution":[172,181],"reduced":[174,195],"where":[177],"maximizing":[178],"higher":[180],"functional":[182],"ill-conditioned.":[184],"The":[185],"main":[186],"benefits":[187],"proposed":[190,211],"system":[191],"and":[198,220],"high":[200],"estimated":[204],"depth.":[205],"Experimental":[206],"results":[207],"show":[208],"scheme":[212],"represents":[213],"good":[215],"tradeoff":[216],"among":[217],"accuracy,":[218],"robustness,":[219],"discontinuities":[221],"handling.":[222]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}