乐胖代购免代理版

{"id":"https://openalex.org/W1980442368","doi":"https://doi.org/10.1109/3dv.2014.12","title":"Memory Efficient Stereoscopy from Light Fields","display_name":"Memory Efficient Stereoscopy from Light Fields","publication_year":2014,"publication_date":"2014-12-01","ids":{"openalex":"https://openalex.org/W1980442368","doi":"https://doi.org/10.1109/3dv.2014.12","mag":"1980442368"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/3dv.2014.12","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5011295470","display_name":"Chang-Il Kim","orcid":"https://orcid.org/0000-0003-4977-4384"},"institutions":[{"id":"https://openalex.org/I4210142140","display_name":"Walt Disney (United States)","ror":"https://ror.org/04eg47h42","country_code":"US","type":"funder","lineage":["https://openalex.org/I4210142140"]},{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"funder","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH","US"],"is_corresponding":false,"raw_author_name":"None Changil Kim","raw_affiliation_strings":["Disney Research Zurich","ETH Zurich"],"affiliations":[{"raw_affiliation_string":"Disney Research Zurich","institution_ids":["https://openalex.org/I4210142140"]},{"raw_affiliation_string":"ETH Zurich","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031985722","display_name":"Ulrich M\u00fcller","orcid":"https://orcid.org/0000-0002-1550-9104"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"funder","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]},{"id":"https://openalex.org/I4210142140","display_name":"Walt Disney (United States)","ror":"https://ror.org/04eg47h42","country_code":"US","type":"funder","lineage":["https://openalex.org/I4210142140"]}],"countries":["CH","US"],"is_corresponding":false,"raw_author_name":"Ulrich Muller","raw_affiliation_strings":["Disney Research Zurich","ETH Zurich"],"affiliations":[{"raw_affiliation_string":"ETH Zurich","institution_ids":["https://openalex.org/I35440088"]},{"raw_affiliation_string":"Disney Research Zurich","institution_ids":["https://openalex.org/I4210142140"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111503663","display_name":"Henning Zimmer","orcid":null},"institutions":[{"id":"https://openalex.org/I4210142140","display_name":"Walt Disney (United States)","ror":"https://ror.org/04eg47h42","country_code":"US","type":"funder","lineage":["https://openalex.org/I4210142140"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Henning Zimmer","raw_affiliation_strings":["Disney Research Zurich"],"affiliations":[{"raw_affiliation_string":"Disney Research Zurich","institution_ids":["https://openalex.org/I4210142140"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062953470","display_name":"Yael Pritch","orcid":"https://orcid.org/0000-0002-5419-3915"},"institutions":[{"id":"https://openalex.org/I4210142140","display_name":"Walt Disney (United States)","ror":"https://ror.org/04eg47h42","country_code":"US","type":"funder","lineage":["https://openalex.org/I4210142140"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yael Pritch","raw_affiliation_strings":["Disney Research Zurich"],"affiliations":[{"raw_affiliation_string":"Disney Research Zurich","institution_ids":["https://openalex.org/I4210142140"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053984717","display_name":"Alexander Sorkine\u2010Hornung","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alexander Sorkine-Hornung","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5033076979","display_name":"Markus Gro\u00df","orcid":"https://orcid.org/0009-0003-9324-779X"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"funder","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]},{"id":"https://openalex.org/I4210142140","display_name":"Walt Disney (United States)","ror":"https://ror.org/04eg47h42","country_code":"US","type":"funder","lineage":["https://openalex.org/I4210142140"]}],"countries":["CH","US"],"is_corresponding":false,"raw_author_name":"Markus Gross","raw_affiliation_strings":["Disney Research Zurich","ETH Zurich"],"affiliations":[{"raw_affiliation_string":"ETH Zurich","institution_ids":["https://openalex.org/I35440088"]},{"raw_affiliation_string":"Disney Research Zurich","institution_ids":["https://openalex.org/I4210142140"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.138,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":3,"citation_normalized_percentile":{"value":0.326029,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":76,"max":79},"biblio":{"volume":null,"issue":null,"first_page":"73","last_page":"80"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9999,"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":0.9999,"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/T11408","display_name":"Advanced Optical Imaging Technologies","score":0.998,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9952,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.6653447},{"id":"https://openalex.org/keywords/light-field","display_name":"Light Field","score":0.55970937},{"id":"https://openalex.org/keywords/depth-of-field","display_name":"Depth of field","score":0.41526145}],"concepts":[{"id":"https://openalex.org/C126057942","wikidata":"https://www.wikidata.org/wiki/Q35158","display_name":"Stereoscopy","level":2,"score":0.8666187},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.75068104},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.67530304},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.6653447},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.65827847},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.613618},{"id":"https://openalex.org/C48983235","wikidata":"https://www.wikidata.org/wiki/Q593161","display_name":"Light field","level":2,"score":0.55970937},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.48061365},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4167774},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.41654724},{"id":"https://openalex.org/C183072630","wikidata":"https://www.wikidata.org/wiki/Q215932","display_name":"Depth of field","level":2,"score":0.41526145},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15981397},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/3dv.2014.12","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":30,"referenced_works":["https://openalex.org/W1600960374","https://openalex.org/W1968132106","https://openalex.org/W1969565151","https://openalex.org/W1975861306","https://openalex.org/W2007165614","https://openalex.org/W2017598974","https://openalex.org/W2026008618","https://openalex.org/W2038495454","https://openalex.org/W2047884269","https://openalex.org/W2051210050","https://openalex.org/W2056022906","https://openalex.org/W2063366997","https://openalex.org/W2066201040","https://openalex.org/W2086676777","https://openalex.org/W2097996609","https://openalex.org/W2103997188","https://openalex.org/W2104925593","https://openalex.org/W2111957738","https://openalex.org/W2112947410","https://openalex.org/W2114898048","https://openalex.org/W2124665464","https://openalex.org/W2128529780","https://openalex.org/W2137171442","https://openalex.org/W2148162135","https://openalex.org/W2160157899","https://openalex.org/W2169005668","https://openalex.org/W2997134657","https://openalex.org/W2997446157","https://openalex.org/W3136081022","https://openalex.org/W3138029226"],"related_works":["https://openalex.org/W4320732222","https://openalex.org/W3142456067","https://openalex.org/W3006845356","https://openalex.org/W3001631268","https://openalex.org/W2997982366","https://openalex.org/W2784261531","https://openalex.org/W2580863105","https://openalex.org/W2334078434","https://openalex.org/W2288907727","https://openalex.org/W2091279286"],"abstract_inverted_index":{"We":[0,45,144],"address":[1],"the":[2,40,67,115,131,146],"problem":[3],"of":[4,62,121,148],"stereoscopic":[5,31],"content":[6,141],"generation":[7],"from":[8,88],"light":[9,21,36],"fields":[10],"using":[11],"multi-perspective":[12],"imaging.":[13],"Our":[14],"proposed":[15,132],"method":[16,59,106,133,150],"takes":[17],"as":[18,48,83,92],"input":[19,64],"a":[20,24,30,49],"field":[22],"and":[23,28,72,98,118],"target":[25,42],"disparity":[26,43],"map,":[27],"synthesizes":[29],"image":[32,96],"pair":[33],"by":[34],"selecting":[35],"rays":[37],"that":[38],"fulfill":[39],"given":[41],"constraints.":[44],"formulate":[46],"this":[47],"variational":[50],"convex":[51],"optimization":[52],"problem.":[53],"Compared":[54],"to":[55,65,129,136],"previous":[56,116],"work,":[57],"our":[58,105,149],"makes":[60],"use":[61],"multi-view":[63],"composite":[66],"new":[68],"view":[69],"with":[70],"occlusions":[71],"disocclusions":[73],"properly":[74],"handled,":[75],"does":[76],"not":[77],"require":[78],"any":[79],"correspondence":[80],"information":[81],"such":[82,91],"scene":[84],"depth,":[85],"is":[86,99,107,119,127,142],"free":[87],"undesirable":[89],"artifacts":[90],"grid":[93],"bias":[94],"or":[95],"distortion,":[97],"more":[100,111],"efficiently":[101],"solvable.":[102],"In":[103],"particular,":[104],"about":[108],"ten":[109],"times":[110],"memory":[112],"efficient":[113],"than":[114],"art,":[117],"capable":[120],"processing":[122],"higher":[123],"resolution":[124],"input.":[125],"This":[126],"essential":[128],"make":[130],"practically":[134],"applicable":[135],"realistic":[137],"scenarios":[138],"where":[139],"HD":[140],"standard.":[143],"demonstrate":[145],"effectiveness":[147],"experimentally.":[151]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W1980442368","counts_by_year":[{"year":2019,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2025-03-16T18:40:06.011689","created_date":"2016-06-24"}