{"id":"https://openalex.org/W2408860619","doi":"https://doi.org/10.1109/acpr.2015.7486518","title":"Multi-cut light field depth estimation","display_name":"Multi-cut light field depth estimation","publication_year":2015,"publication_date":"2015-11-01","ids":{"openalex":"https://openalex.org/W2408860619","doi":"https://doi.org/10.1109/acpr.2015.7486518","mag":"2408860619"},"language":"en","primary_location":{"id":"doi:10.1109/acpr.2015.7486518","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acpr.2015.7486518","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 3rd IAPR Asian Conference on Pattern Recognition (ACPR)","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/A5042857164","display_name":"Thoma Papadhimitri","orcid":null},"institutions":[{"id":"https://openalex.org/I4210166625","display_name":"Huawei German Research Center","ror":"https://ror.org/00z59w514","country_code":"DE","type":"facility","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210129353","https://openalex.org/I4210166625"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Thoma Papadhimitri","raw_affiliation_strings":["Huawei European Research Center Munich, Germany"],"affiliations":[{"raw_affiliation_string":"Huawei European Research Center Munich, Germany","institution_ids":["https://openalex.org/I4210166625"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021221556","display_name":"Onay Urfal\u0131o\u01e7lu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210166625","display_name":"Huawei German Research Center","ror":"https://ror.org/00z59w514","country_code":"DE","type":"facility","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210129353","https://openalex.org/I4210166625"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Onay Urfalioglu","raw_affiliation_strings":["Huawei European Research Center Munich, Germany"],"affiliations":[{"raw_affiliation_string":"Huawei European Research Center Munich, Germany","institution_ids":["https://openalex.org/I4210166625"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5042857164"],"corresponding_institution_ids":["https://openalex.org/I4210166625"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.21828414,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"25","issue":null,"first_page":"321","last_page":"325"},"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9976999759674072,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9940000176429749,"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":0.795440673828125},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7131556272506714},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.6303123235702515},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5537827014923096},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5370136499404907},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5121400356292725},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5110026597976685},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.49305054545402527},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.446042001247406},{"id":"https://openalex.org/keywords/depth-of-field","display_name":"Depth of field","score":0.41571515798568726},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2420378029346466},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11358171701431274},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.07024714350700378}],"concepts":[{"id":"https://openalex.org/C48983235","wikidata":"https://www.wikidata.org/wiki/Q593161","display_name":"Light field","level":2,"score":0.795440673828125},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7131556272506714},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.6303123235702515},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5537827014923096},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5370136499404907},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5121400356292725},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5110026597976685},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.49305054545402527},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.446042001247406},{"id":"https://openalex.org/C183072630","wikidata":"https://www.wikidata.org/wiki/Q215932","display_name":"Depth of field","level":2,"score":0.41571515798568726},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2420378029346466},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11358171701431274},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.07024714350700378},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/acpr.2015.7486518","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acpr.2015.7486518","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 3rd IAPR Asian Conference on Pattern Recognition (ACPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.5899999737739563,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W40486223","https://openalex.org/W109257483","https://openalex.org/W201905283","https://openalex.org/W1516111018","https://openalex.org/W1537348865","https://openalex.org/W1545934923","https://openalex.org/W1554981085","https://openalex.org/W1585668122","https://openalex.org/W1917434997","https://openalex.org/W1968872078","https://openalex.org/W2007165614","https://openalex.org/W2042687553","https://openalex.org/W2098387242","https://openalex.org/W2105198794","https://openalex.org/W2128268941","https://openalex.org/W2128359381","https://openalex.org/W2137313943","https://openalex.org/W2143050242","https://openalex.org/W2149694199","https://openalex.org/W2151646056","https://openalex.org/W2165949176","https://openalex.org/W2540462820","https://openalex.org/W6601678832","https://openalex.org/W6632552969","https://openalex.org/W6634891648"],"related_works":["https://openalex.org/W2580863105","https://openalex.org/W2784261531","https://openalex.org/W2288907727","https://openalex.org/W2997982366","https://openalex.org/W2334078434","https://openalex.org/W3001631268","https://openalex.org/W3142456067","https://openalex.org/W4320732222","https://openalex.org/W4297921476","https://openalex.org/W4251977926"],"abstract_inverted_index":{"We":[0],"investigate":[1],"the":[2,21,27,34,53,59,66,84,86,104,114,122],"problem":[3],"of":[4,8,26,33,49,74,83,94,106,116],"depth":[5,37,110],"map":[6],"estimation":[7,111],"a":[9],"scene":[10],"from":[11,124],"4D":[12],"light-field":[13,46,109],"data.":[14],"Unlike":[15],"prior":[16],"work,":[17],"we":[18,118],"process":[19],"all":[20,43],"input":[22],"images":[23],"(or":[24],"sub-images)":[25],"light-field.":[28],"Indeed,":[29],"for":[30],"each":[31],"point":[32],"scene,":[35],"different":[36],"candidates":[38,61],"are":[39,62,89],"estimated":[40],"by":[41,64,79],"considering":[42],"possible":[44],"3D":[45],"cuts":[47,82],"instead":[48],"only":[50],"2,":[51],"i.e.":[52],"horizontal":[54],"and":[55,102,126,129],"vertical":[56],"one.":[57],"Then,":[58],"optimal":[60],"chosen":[63],"finding":[65],"labeling":[67],"with":[68],"minimum":[69],"energy.":[70],"The":[71],"main":[72],"motivation":[73],"our":[75],"approach":[76],"is":[77,93],"that":[78],"processing":[80],"multiple":[81],"light-field,":[85],"matching":[87],"ambiguities":[88],"reduced.":[90],"Our":[91],"meta-method":[92],"broad":[95],"interest":[96],"as":[97],"it":[98,120],"can":[99],"be":[100],"applied":[101],"enhance":[103],"performance":[105],"various":[107],"state-of-the-art":[108],"techniques.":[112],"For":[113],"sake":[115],"demonstration":[117],"apply":[119],"on":[121],"work":[123],"Wanner":[125],"Goldluecke":[127],"[19]":[128],"significantly":[130],"improve":[131],"their":[132],"results.":[133]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
