{"id":"https://openalex.org/W3003744515","doi":"https://doi.org/10.1109/ic3d48390.2019.8975901","title":"Frame-Wise CNN-Based View Synthesis for Light Field Camera Arrays","display_name":"Frame-Wise CNN-Based View Synthesis for Light Field Camera Arrays","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3003744515","doi":"https://doi.org/10.1109/ic3d48390.2019.8975901","mag":"3003744515"},"language":"en","primary_location":{"id":"doi:10.1109/ic3d48390.2019.8975901","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ic3d48390.2019.8975901","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on 3D Immersion (IC3D)","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/A5060196436","display_name":"Ionut Schiopu","orcid":"https://orcid.org/0000-0003-2202-1163"},"institutions":[{"id":"https://openalex.org/I13469542","display_name":"Vrije Universiteit Brussel","ror":"https://ror.org/006e5kg04","country_code":"BE","type":"education","lineage":["https://openalex.org/I13469542"]}],"countries":["BE"],"is_corresponding":true,"raw_author_name":"Ionut Schiopu","raw_affiliation_strings":["Vrije Universiteit Brussel,Department of Electronics and Informatics,Brussels,Belgium","Department of Electronics and Informatics, Vrije Universiteit Brussel, Brussels, Belgium"],"affiliations":[{"raw_affiliation_string":"Vrije Universiteit Brussel,Department of Electronics and Informatics,Brussels,Belgium","institution_ids":["https://openalex.org/I13469542"]},{"raw_affiliation_string":"Department of Electronics and Informatics, Vrije Universiteit Brussel, Brussels, Belgium","institution_ids":["https://openalex.org/I13469542"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049576567","display_name":"Patrice Rond\u00e3o Alface","orcid":"https://orcid.org/0000-0002-5402-6180"},"institutions":[{"id":"https://openalex.org/I4210160875","display_name":"Nokia (Belgium)","ror":"https://ror.org/04xze1462","country_code":"BE","type":"company","lineage":["https://openalex.org/I2738502077","https://openalex.org/I4210160875"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Patrice Rondao Alface","raw_affiliation_strings":["Nokia Bell Labs,Antwerp,Belgium","Nokia Bell Labs, Antwerp, Belgium"],"affiliations":[{"raw_affiliation_string":"Nokia Bell Labs,Antwerp,Belgium","institution_ids":["https://openalex.org/I4210160875"]},{"raw_affiliation_string":"Nokia Bell Labs, Antwerp, Belgium","institution_ids":["https://openalex.org/I4210160875"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088598176","display_name":"Adrian Munteanu","orcid":"https://orcid.org/0000-0001-7290-0428"},"institutions":[{"id":"https://openalex.org/I13469542","display_name":"Vrije Universiteit Brussel","ror":"https://ror.org/006e5kg04","country_code":"BE","type":"education","lineage":["https://openalex.org/I13469542"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Adrian Munteanu","raw_affiliation_strings":["Vrije Universiteit Brussel,Department of Electronics and Informatics,Brussels,Belgium","Department of Electronics and Informatics, Vrije Universiteit Brussel, Brussels, Belgium"],"affiliations":[{"raw_affiliation_string":"Vrije Universiteit Brussel,Department of Electronics and Informatics,Brussels,Belgium","institution_ids":["https://openalex.org/I13469542"]},{"raw_affiliation_string":"Department of Electronics and Informatics, Vrije Universiteit Brussel, Brussels, Belgium","institution_ids":["https://openalex.org/I13469542"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5060196436"],"corresponding_institution_ids":["https://openalex.org/I13469542"],"apc_list":null,"apc_paid":null,"fwci":0.1012,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.47489817,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"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/T11019","display_name":"Image Enhancement Techniques","score":0.9990000128746033,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9983999729156494,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7706869840621948},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7621282339096069},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7241116762161255},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.6715565919876099},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5757587552070618},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5477409362792969},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.4673718810081482},{"id":"https://openalex.org/keywords/light-field","display_name":"Light field","score":0.46721187233924866},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.46531060338020325},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.45797204971313477},{"id":"https://openalex.org/keywords/view-synthesis","display_name":"View synthesis","score":0.4578626751899719},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4414488971233368},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43647849559783936},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13638928532600403},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.06442168354988098}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7706869840621948},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7621282339096069},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7241116762161255},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.6715565919876099},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5757587552070618},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5477409362792969},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.4673718810081482},{"id":"https://openalex.org/C48983235","wikidata":"https://www.wikidata.org/wiki/Q593161","display_name":"Light field","level":2,"score":0.46721187233924866},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.46531060338020325},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.45797204971313477},{"id":"https://openalex.org/C2776449333","wikidata":"https://www.wikidata.org/wiki/Q7928781","display_name":"View synthesis","level":3,"score":0.4578626751899719},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4414488971233368},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43647849559783936},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13638928532600403},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.06442168354988098},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","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},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ic3d48390.2019.8975901","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ic3d48390.2019.8975901","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on 3D Immersion (IC3D)","raw_type":"proceedings-article"},{"id":"pmh:oai:vubissmart:VUBISSMART:2000:125860","is_oa":false,"landing_page_url":"https://biblio.vub.ac.be/vubir/framewise-cnnbased-view-synthesis-for-light-field-camera-arrays(73ad385d-57f5-4e2c-bfce-b01e588a6813).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306402573","display_name":"VUBIR (Vrije Universiteit Brussel)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I13469542","host_organization_name":"Vrije Universiteit Brussel","host_organization_lineage":["https://openalex.org/I13469542"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1836465849","https://openalex.org/W1901129140","https://openalex.org/W2133665775","https://openalex.org/W2146395539","https://openalex.org/W2194775991","https://openalex.org/W2551052086","https://openalex.org/W2591697814","https://openalex.org/W2752002992","https://openalex.org/W2801572770","https://openalex.org/W2897594148","https://openalex.org/W2946432311","https://openalex.org/W2949117887","https://openalex.org/W2957246117","https://openalex.org/W2966288601","https://openalex.org/W2968439023","https://openalex.org/W2972765469","https://openalex.org/W2993989702","https://openalex.org/W6638667902","https://openalex.org/W6639824700","https://openalex.org/W6687483927","https://openalex.org/W6729515566","https://openalex.org/W6734447043"],"related_works":["https://openalex.org/W4211106943","https://openalex.org/W3131350938","https://openalex.org/W3000078511","https://openalex.org/W2744012867","https://openalex.org/W3163612542","https://openalex.org/W4292830147","https://openalex.org/W3098172517","https://openalex.org/W2800876221","https://openalex.org/W2897769554","https://openalex.org/W4385491339"],"abstract_inverted_index":{"The":[0,69],"paper":[1],"proposes":[2],"a":[3,29,78],"novel":[4,23,41],"frame-wise":[5],"view":[6],"synthesis":[7],"method":[8,71,96],"based":[9,45,81],"on":[10,46,82],"convolutional":[11],"neural":[12,24],"networks":[13],"(CNNs)":[14],"for":[15,112],"wide-baseline":[16,55],"light":[17],"field":[18],"(LF)":[19],"camera":[20],"arrays.":[21],"A":[22,40,54],"network":[25],"architecture":[26],"that":[27,93],"follows":[28],"multi-resolution":[30],"processing":[31],"paradigm":[32],"is":[33,52,59],"employed":[34,62],"to":[35,63],"synthesize":[36],"an":[37,101],"entire":[38],"view.":[39],"loss":[42],"function":[43],"formulation":[44],"the":[47,65,94],"structural":[48],"similarity":[49],"index":[50],"(SSIM)":[51],"proposed.":[53],"LF":[56,79,88],"image":[57,75,80],"dataset":[58],"generated":[60],"and":[61,104,109],"train":[64],"proposed":[66,70,95],"deep":[67],"model.":[68],"synthesizes":[72],"each":[73],"subaperture":[74],"(SAI)":[76],"from":[77,85],"corresponding":[83],"SAIs":[84],"two":[86],"reference":[87],"images.":[89],"Experimental":[90],"results":[91,99],"show":[92],"yields":[97],"promising":[98],"with":[100],"average":[102],"PSNR":[103],"SSIM":[105],"of":[106],"34.71":[107],"dB":[108],"0.9673":[110],"respectively":[111],"wide":[113],"baselines.":[114]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}