{"id":"https://openalex.org/W2592900865","doi":"https://doi.org/10.2312/egsh.20161009","title":"Multi-Focus Plenoptic Simulator and Lens Pattern Mixing for Dense Depth Map Estimation","display_name":"Multi-Focus Plenoptic Simulator and Lens Pattern Mixing for Dense Depth Map Estimation","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2592900865","doi":"https://doi.org/10.2312/egsh.20161009","mag":"2592900865"},"language":"en","primary_location":{"id":"doi:10.2312/egsh.20161009","is_oa":true,"landing_page_url":"https://doi.org/10.2312/egsh.20161009","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.2312/egsh.20161009","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Ferreira, Rodrigo","orcid":null},"institutions":[{"id":"https://openalex.org/I76903346","display_name":"University of Coimbra","ror":"https://ror.org/04z8k9a98","country_code":"PT","type":"education","lineage":["https://openalex.org/I76903346"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Ferreira, Rodrigo","raw_affiliation_strings":["#N##TAB##TAB##TAB##TAB# University of Coimbra, Portugal#N##TAB##TAB##TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"#N##TAB##TAB##TAB##TAB# University of Coimbra, Portugal#N##TAB##TAB##TAB#","institution_ids":["https://openalex.org/I76903346"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Cunha, Joel","orcid":null},"institutions":[{"id":"https://openalex.org/I76903346","display_name":"University of Coimbra","ror":"https://ror.org/04z8k9a98","country_code":"PT","type":"education","lineage":["https://openalex.org/I76903346"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Cunha, Joel","raw_affiliation_strings":["#N##TAB##TAB##TAB##TAB# University of Coimbra, Portugal#N##TAB##TAB##TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"#N##TAB##TAB##TAB##TAB# University of Coimbra, Portugal#N##TAB##TAB##TAB#","institution_ids":["https://openalex.org/I76903346"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060785558","display_name":"Nuno Gon\u00e7alves","orcid":"https://orcid.org/0000-0002-1854-049X"},"institutions":[{"id":"https://openalex.org/I76903346","display_name":"University of Coimbra","ror":"https://ror.org/04z8k9a98","country_code":"PT","type":"education","lineage":["https://openalex.org/I76903346"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Goncalves, Nuno","raw_affiliation_strings":["#N##TAB##TAB##TAB##TAB# University of Coimbra, Portugal#N##TAB##TAB##TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"#N##TAB##TAB##TAB##TAB# University of Coimbra, Portugal#N##TAB##TAB##TAB#","institution_ids":["https://openalex.org/I76903346"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"37","last_page":"40"},"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":0.9990000128746033,"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":0.9988999962806702,"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/computer-science","display_name":"Computer science","score":0.750380277633667},{"id":"https://openalex.org/keywords/ransac","display_name":"RANSAC","score":0.738710880279541},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7074309587478638},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7013756036758423},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6969329118728638},{"id":"https://openalex.org/keywords/depth-map","display_name":"Depth map","score":0.6544234156608582},{"id":"https://openalex.org/keywords/light-field","display_name":"Light field","score":0.5770056843757629},{"id":"https://openalex.org/keywords/depth-of-field","display_name":"Depth of field","score":0.5283185839653015},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4989786148071289},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.47157400846481323},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4474669098854065},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.37596797943115234},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.301693856716156},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10497534275054932},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.08480823040008545}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.750380277633667},{"id":"https://openalex.org/C114744707","wikidata":"https://www.wikidata.org/wiki/Q218533","display_name":"RANSAC","level":3,"score":0.738710880279541},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7074309587478638},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7013756036758423},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6969329118728638},{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.6544234156608582},{"id":"https://openalex.org/C48983235","wikidata":"https://www.wikidata.org/wiki/Q593161","display_name":"Light field","level":2,"score":0.5770056843757629},{"id":"https://openalex.org/C183072630","wikidata":"https://www.wikidata.org/wiki/Q215932","display_name":"Depth of field","level":2,"score":0.5283185839653015},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4989786148071289},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.47157400846481323},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4474669098854065},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.37596797943115234},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.301693856716156},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10497534275054932},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.08480823040008545},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.2312/egsh.20161009","is_oa":true,"landing_page_url":"https://doi.org/10.2312/egsh.20161009","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"},{"id":"mag:2592900865","is_oa":false,"landing_page_url":"http://dblp.uni-trier.de/db/conf/eurographics/eg-short2016.html#FerreiraCG16","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"Eurographics","raw_type":null}],"best_oa_location":{"id":"doi:10.2312/egsh.20161009","is_oa":true,"landing_page_url":"https://doi.org/10.2312/egsh.20161009","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W244293991","https://openalex.org/W2098232352","https://openalex.org/W2128359381","https://openalex.org/W2129103953","https://openalex.org/W2137313943","https://openalex.org/W2259186566"],"related_works":["https://openalex.org/W1488812736","https://openalex.org/W1624194054","https://openalex.org/W2742960830","https://openalex.org/W3095127415","https://openalex.org/W2962295065","https://openalex.org/W3014239205","https://openalex.org/W2663237612","https://openalex.org/W1980343256","https://openalex.org/W2076616187","https://openalex.org/W2478911900","https://openalex.org/W2769049135","https://openalex.org/W2125730800","https://openalex.org/W3026806033","https://openalex.org/W2005107204","https://openalex.org/W2732889908","https://openalex.org/W2153778162","https://openalex.org/W2013967776","https://openalex.org/W2895485186","https://openalex.org/W2004755571","https://openalex.org/W2112529397"],"abstract_inverted_index":{"Light":[0],"field":[1,8],"cameras":[2],"capture":[3],"a":[4,22,30,35,59,70,75,79,120],"scene's":[5],"multi-directional":[6],"light":[7],"with":[9,105,123],"one":[10],"image,":[11],"allowing":[12],"the":[13,47,110],"estimation":[14,28],"of":[15,49,96],"depth.":[16],"In":[17],"this":[18],"paper,":[19],"we":[20,92],"introduce":[21],"fully":[23],"automatic":[24],"method":[25,45],"for":[26,38,53,63,114],"depth":[27,55,61,111],"from":[29,78],"single":[31],"plenoptic":[32,71,76,97],"image":[33],"running":[34],"RANSAC-like":[36],"algorithm":[37],"feature":[39],"matching.":[40],"The":[41],"novelty":[42],"about":[43],"our":[44],"is":[46,87,119],"use":[48],"different":[50],"focal-length":[51],"lenses":[52],"multiple":[54],"map":[56,62],"refining,":[57],"generating":[58],"dense":[60],"future":[64],"all-in-focus":[65],"renders.":[66],"We":[67],"also":[68],"present":[69],"simulator":[72],"which":[73,86],"produces":[74],"dataset":[77],"3D":[80],"computer":[81],"rendered":[82],"scene.":[83],"This":[84,117],"simulator,":[85],"unique,":[88],"as":[89,91],"far":[90],"known,":[93],"allows":[94],"testing":[95],"oriented":[98],"algorithms":[99],"since":[100],"it":[101],"can":[102],"reproduce":[103],"datasets":[104],"desired":[106],"scene":[107],"characteristics,":[108],"providing":[109],"ground":[112],"truth":[113],"error":[115],"measurement.":[116],"work":[118],"on-going":[121],"project":[122],"promising":[124],"results.":[125]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
