{"id":"https://openalex.org/W2097437546","doi":"https://doi.org/10.1109/pcs.2010.5702462","title":"Free viewpoint image generation with super resolution","display_name":"Free viewpoint image generation with super resolution","publication_year":2010,"publication_date":"2010-12-01","ids":{"openalex":"https://openalex.org/W2097437546","doi":"https://doi.org/10.1109/pcs.2010.5702462","mag":"2097437546"},"language":"en","primary_location":{"id":"doi:10.1109/pcs.2010.5702462","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pcs.2010.5702462","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"28th Picture Coding Symposium","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/A5074752282","display_name":"Norishige Fukushima","orcid":"https://orcid.org/0000-0001-8320-6407"},"institutions":[{"id":"https://openalex.org/I197274945","display_name":"Nagoya Institute of Technology","ror":"https://ror.org/055yf1005","country_code":"JP","type":"education","lineage":["https://openalex.org/I197274945"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Norishige Fukushima","raw_affiliation_strings":["Graduate School of Engineering, Nagoya Institute of Technology, Japan","Graduate School of Eng. Nagoya Institute of Technology"],"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Nagoya Institute of Technology, Japan","institution_ids":["https://openalex.org/I197274945"]},{"raw_affiliation_string":"Graduate School of Eng. Nagoya Institute of Technology","institution_ids":["https://openalex.org/I197274945"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051131587","display_name":"Yutaka Ishibashi","orcid":"https://orcid.org/0000-0002-0140-0191"},"institutions":[{"id":"https://openalex.org/I197274945","display_name":"Nagoya Institute of Technology","ror":"https://ror.org/055yf1005","country_code":"JP","type":"education","lineage":["https://openalex.org/I197274945"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yutaka Ishibashi","raw_affiliation_strings":["Graduate School of Engineering, Nagoya Institute of Technology, Japan","Graduate School of Eng. Nagoya Institute of Technology"],"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Nagoya Institute of Technology, Japan","institution_ids":["https://openalex.org/I197274945"]},{"raw_affiliation_string":"Graduate School of Eng. Nagoya Institute of Technology","institution_ids":["https://openalex.org/I197274945"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5074752282"],"corresponding_institution_ids":["https://openalex.org/I197274945"],"apc_list":null,"apc_paid":null,"fwci":1.297,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.82342099,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"1","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9998000264167786,"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":0.9930999875068665,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7300373315811157},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.7106993198394775},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6902796030044556},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6590760946273804},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6195088028907776},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.6166617274284363},{"id":"https://openalex.org/keywords/sub-pixel-resolution","display_name":"Sub-pixel resolution","score":0.6146630644798279},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5499647259712219},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.5418269634246826},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.49964022636413574},{"id":"https://openalex.org/keywords/superresolution","display_name":"Superresolution","score":0.43637409806251526},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.42460864782333374},{"id":"https://openalex.org/keywords/image-scaling","display_name":"Image scaling","score":0.41789889335632324},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3398342728614807},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3260765075683594},{"id":"https://openalex.org/keywords/digital-image-processing","display_name":"Digital image processing","score":0.1863183081150055}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7300373315811157},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.7106993198394775},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6902796030044556},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6590760946273804},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6195088028907776},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.6166617274284363},{"id":"https://openalex.org/C152363868","wikidata":"https://www.wikidata.org/wiki/Q7630627","display_name":"Sub-pixel resolution","level":5,"score":0.6146630644798279},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5499647259712219},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.5418269634246826},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.49964022636413574},{"id":"https://openalex.org/C141239990","wikidata":"https://www.wikidata.org/wiki/Q957423","display_name":"Superresolution","level":3,"score":0.43637409806251526},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.42460864782333374},{"id":"https://openalex.org/C27405340","wikidata":"https://www.wikidata.org/wiki/Q440296","display_name":"Image scaling","level":4,"score":0.41789889335632324},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3398342728614807},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3260765075683594},{"id":"https://openalex.org/C104317675","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Digital image processing","level":4,"score":0.1863183081150055},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/pcs.2010.5702462","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pcs.2010.5702462","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"28th Picture Coding Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1979144318","https://openalex.org/W2063366997","https://openalex.org/W2087380704","https://openalex.org/W2165939075","https://openalex.org/W2295511631","https://openalex.org/W2612089012","https://openalex.org/W2987004640","https://openalex.org/W3043538212","https://openalex.org/W6737337643","https://openalex.org/W6770257792"],"related_works":["https://openalex.org/W1994545243","https://openalex.org/W2025530126","https://openalex.org/W2113253671","https://openalex.org/W2135032339","https://openalex.org/W2688472305","https://openalex.org/W3004000015","https://openalex.org/W2768026498","https://openalex.org/W2120771670","https://openalex.org/W2104599718","https://openalex.org/W1992520687"],"abstract_inverted_index":{"In":[0,15,81],"this":[1,49],"paper,":[2],"we":[3,51,72,84],"propose":[4],"a":[5,86],"method":[6],"of":[7,110],"free":[8,77],"viewpoint":[9,78],"image":[10,28,54,63,68,79,107,119],"generation":[11],"with":[12,55,76],"super":[13,56,74,111],"resolution.":[14,57,112],"the":[16,26,39,53,66,82,121,134,145],"conventional":[17],"approaches,":[18],"such":[19],"as":[20],"nearest":[21,135],"neighbor":[22,136],"and":[23,70,96,137],"linear":[24,146],"interpolation,":[25],"synthetic":[27],"on":[29],"zoomed":[30],"virtual":[31],"view":[32],"tends":[33],"to":[34,105],"have":[35,44],"low":[36],"resolution,":[37],"because":[38],"reference":[40],"images":[41],"do":[42],"not":[43],"enough":[45],"textures.":[46],"To":[47],"overcome":[48],"problem,":[50],"reconstruct":[52,106],"Super":[58],"resolution":[59,64,75],"can":[60],"generate":[61],"higher":[62,128,140],"than":[65,130,141],"input":[67],"one,":[69],"then":[71],"combine":[73],"generation.":[80],"experiment,":[83],"use":[85,97],"camera":[87],"array":[88],"which":[89],"contains":[90],"11":[91,93],"\u00d7":[92,99],"aligned":[94],"cameras":[95,101],"4":[98,100],"subset":[102],"per":[103],"pixel":[104],"by":[108,133,144],"means":[109],"The":[113],"experimental":[114],"results":[115],"show":[116],"that":[117],"synthesized":[118],"in":[120],"effective":[122],"range":[123],"has":[124],"about":[125],"4.5":[126],"dB":[127,139],"PSNR":[129],"ones":[131,142],"created":[132,143],"2.5":[138],"interpolation.":[147]},"counts_by_year":[{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-01T17:29:45.350535","created_date":"2025-10-10T00:00:00"}