{"id":"https://openalex.org/W1992367866","doi":"https://doi.org/10.1109/iccphot.2014.6831809","title":"Refocusing plenoptic images using depth-adaptive splatting","display_name":"Refocusing plenoptic images using depth-adaptive splatting","publication_year":2014,"publication_date":"2014-05-01","ids":{"openalex":"https://openalex.org/W1992367866","doi":"https://doi.org/10.1109/iccphot.2014.6831809","mag":"1992367866"},"language":"en","primary_location":{"id":"doi:10.1109/iccphot.2014.6831809","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccphot.2014.6831809","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Computational Photography (ICCP)","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/A5002787569","display_name":"Juliet Fiss","orcid":null},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Juliet Fiss","raw_affiliation_strings":["University of Washington","University of Washington, USA"],"affiliations":[{"raw_affiliation_string":"University of Washington","institution_ids":["https://openalex.org/I201448701"]},{"raw_affiliation_string":"University of Washington, USA","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011858791","display_name":"Brian Curless","orcid":"https://orcid.org/0000-0002-0095-5400"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Brian Curless","raw_affiliation_strings":["University of Washington","University of Washington, USA"],"affiliations":[{"raw_affiliation_string":"University of Washington","institution_ids":["https://openalex.org/I201448701"]},{"raw_affiliation_string":"University of Washington, USA","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077002817","display_name":"Richard Szeliski","orcid":null},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]},{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB","US"],"is_corresponding":false,"raw_author_name":"Richard Szeliski","raw_affiliation_strings":["Microsoft Research","Microsoft Research,USA"],"affiliations":[{"raw_affiliation_string":"Microsoft Research","institution_ids":["https://openalex.org/I4210164937"]},{"raw_affiliation_string":"Microsoft Research,USA","institution_ids":["https://openalex.org/I1290206253"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5002787569"],"corresponding_institution_ids":["https://openalex.org/I201448701"],"apc_list":null,"apc_paid":null,"fwci":4.6336,"has_fulltext":false,"cited_by_count":86,"citation_normalized_percentile":{"value":0.95886862,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"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":0.9998999834060669,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9988999962806702,"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":0.8154242038726807},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7653028964996338},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7513024806976318},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.729806661605835},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6109440922737122},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5851842761039734},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5568881630897522},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.5477310419082642},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.4641472101211548},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.41858619451522827},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.35804808139801025},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15610742568969727},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.0799100399017334}],"concepts":[{"id":"https://openalex.org/C23379248","wikidata":"https://www.wikidata.org/wiki/Q200904","display_name":"Epipolar geometry","level":3,"score":0.8154242038726807},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7653028964996338},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7513024806976318},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.729806661605835},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6109440922737122},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5851842761039734},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5568881630897522},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.5477310419082642},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.4641472101211548},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.41858619451522827},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.35804808139801025},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15610742568969727},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0799100399017334},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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:10.1109/iccphot.2014.6831809","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccphot.2014.6831809","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Computational Photography (ICCP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320309480","display_name":"Nvidia","ror":"https://ror.org/03jdj4y14"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1537348865","https://openalex.org/W1818002383","https://openalex.org/W1979201121","https://openalex.org/W2007165614","https://openalex.org/W2014281764","https://openalex.org/W2014627134","https://openalex.org/W2030894197","https://openalex.org/W2042687553","https://openalex.org/W2050008908","https://openalex.org/W2055621242","https://openalex.org/W2060167709","https://openalex.org/W2061048861","https://openalex.org/W2063366997","https://openalex.org/W2064586097","https://openalex.org/W2067132795","https://openalex.org/W2098232352","https://openalex.org/W2105198794","https://openalex.org/W2105557003","https://openalex.org/W2111169574","https://openalex.org/W2128268941","https://openalex.org/W2133515844","https://openalex.org/W2136733503","https://openalex.org/W2136856246","https://openalex.org/W2137313943","https://openalex.org/W2143050242","https://openalex.org/W2146695255","https://openalex.org/W2149694199","https://openalex.org/W2156343066","https://openalex.org/W2162162078","https://openalex.org/W2168771745","https://openalex.org/W2294985758","https://openalex.org/W2326943885","https://openalex.org/W2885544433","https://openalex.org/W4211065609","https://openalex.org/W4234377209","https://openalex.org/W4249469210","https://openalex.org/W6632101704","https://openalex.org/W6652100536","https://openalex.org/W6664409084","https://openalex.org/W6666521633","https://openalex.org/W6675783809","https://openalex.org/W6681624193","https://openalex.org/W6682146551"],"related_works":["https://openalex.org/W132764016","https://openalex.org/W2148054235","https://openalex.org/W2132043085","https://openalex.org/W4251504644","https://openalex.org/W1721537561","https://openalex.org/W2369285629","https://openalex.org/W2123437433","https://openalex.org/W2144496413","https://openalex.org/W3094179683","https://openalex.org/W2977327189"],"abstract_inverted_index":{"In":[0],"this":[1,127],"paper,":[2],"we":[3,115],"propose":[4],"a":[5,101,117],"simple,":[6],"novel":[7],"plane":[8,51],"sweep":[9],"technique":[10],"for":[11,57,126],"refocusing":[12],"plenoptic":[13,22],"images.":[14,43],"Rays":[15],"are":[16],"projected":[17],"directly":[18],"from":[19,100,110],"the":[20,26,29,48,65,72,79,95,111],"raw":[21],"image":[23,31,50],"captured":[24],"on":[25,64,98],"sensor":[27],"into":[28],"output":[30,49],"plane,":[32],"without":[33],"computing":[34],"intermediate":[35],"representations":[36],"such":[37],"as":[38],"subaperture":[39],"views":[40],"or":[41],"epipolar":[42],"Interpolation":[44],"is":[45,60],"performed":[46],"in":[47],"using":[52],"splatting.":[53],"The":[54],"splat":[55],"kernel":[56],"each":[58],"ray":[59,77],"adjusted":[61],"adaptively,":[62],"based":[63],"refocus":[66],"depth":[67,73],"and":[68,104,123],"an":[69],"estimate":[70],"of":[71,120],"at":[74],"which":[75],"that":[76],"intersects":[78],"scene.":[80],"This":[81],"adaptive":[82],"interpolation":[83],"method":[84,97],"antialiases":[85],"out-of-focus":[86],"regions,":[87],"while":[88],"keeping":[89],"in-focus":[90],"regions":[91],"sharp.":[92],"We":[93],"test":[94],"proposed":[96],"images":[99],"Lytro":[102,112],"camera":[103],"compare":[105],"our":[106,121],"results":[107],"with":[108],"those":[109],"SDK.":[113],"Additionally,":[114],"provide":[116],"thorough":[118],"discussion":[119],"calibration":[122],"preprocessing":[124],"pipeline":[125],"camera.":[128]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":14},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}