{"id":"https://openalex.org/W2165683024","doi":"https://doi.org/10.1109/icip.2008.4712053","title":"Virtual view synthesis with heuristic spatial motion","display_name":"Virtual view synthesis with heuristic spatial motion","publication_year":2008,"publication_date":"2008-01-01","ids":{"openalex":"https://openalex.org/W2165683024","doi":"https://doi.org/10.1109/icip.2008.4712053","mag":"2165683024"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2008.4712053","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2008.4712053","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 15th IEEE International Conference on Image Processing","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/A5100333961","display_name":"Wenfeng Li","orcid":"https://orcid.org/0000-0001-9491-6543"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Wenfeng Li","raw_affiliation_strings":["Department of Computer Science and Engineering, Arizona State University, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Arizona State University, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032615847","display_name":"Baoxin Li","orcid":"https://orcid.org/0000-0002-9294-4572"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Baoxin Li","raw_affiliation_strings":["Department of Computer Science and Engineering, Arizona State University, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Arizona State University, USA","institution_ids":["https://openalex.org/I55732556"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100333961"],"corresponding_institution_ids":["https://openalex.org/I55732556"],"apc_list":null,"apc_paid":null,"fwci":0.3512,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.68100616,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1508","last_page":"1511"},"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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":0.996399998664856,"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":0.7559627890586853},{"id":"https://openalex.org/keywords/markov-random-field","display_name":"Markov random field","score":0.695461630821228},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6814945936203003},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6509341597557068},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.6438383460044861},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5789671540260315},{"id":"https://openalex.org/keywords/view-synthesis","display_name":"View synthesis","score":0.5156242251396179},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.48934048414230347},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4882388412952423},{"id":"https://openalex.org/keywords/texture-synthesis","display_name":"Texture synthesis","score":0.46266794204711914},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.44129371643066406},{"id":"https://openalex.org/keywords/virtual-image","display_name":"Virtual image","score":0.42693957686424255},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.34302380681037903},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.32812121510505676},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.25963255763053894},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.21999451518058777}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7559627890586853},{"id":"https://openalex.org/C2778045648","wikidata":"https://www.wikidata.org/wiki/Q176827","display_name":"Markov random field","level":4,"score":0.695461630821228},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6814945936203003},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6509341597557068},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.6438383460044861},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5789671540260315},{"id":"https://openalex.org/C2776449333","wikidata":"https://www.wikidata.org/wiki/Q7928781","display_name":"View synthesis","level":3,"score":0.5156242251396179},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.48934048414230347},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4882388412952423},{"id":"https://openalex.org/C50494287","wikidata":"https://www.wikidata.org/wiki/Q658467","display_name":"Texture synthesis","level":5,"score":0.46266794204711914},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.44129371643066406},{"id":"https://openalex.org/C51970089","wikidata":"https://www.wikidata.org/wiki/Q44415","display_name":"Virtual image","level":2,"score":0.42693957686424255},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.34302380681037903},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.32812121510505676},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.25963255763053894},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.21999451518058777},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2008.4712053","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2008.4712053","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 15th IEEE International Conference on Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1979201121","https://openalex.org/W1991605728","https://openalex.org/W1998458472","https://openalex.org/W2019080383","https://openalex.org/W2028687412","https://openalex.org/W2063366997","https://openalex.org/W2066763472","https://openalex.org/W2067132795","https://openalex.org/W2095924849","https://openalex.org/W2162493143","https://openalex.org/W2294985758","https://openalex.org/W6667380001","https://openalex.org/W6681757488"],"related_works":["https://openalex.org/W2365582905","https://openalex.org/W2801494623","https://openalex.org/W2163305100","https://openalex.org/W2387014078","https://openalex.org/W2397696627","https://openalex.org/W2183887509","https://openalex.org/W1965243584","https://openalex.org/W2373481280","https://openalex.org/W2083583319","https://openalex.org/W2043322565"],"abstract_inverted_index":{"Probabilistic":[0],"methods":[1],"have":[2,117],"been":[3],"used":[4],"in":[5,36],"image-based":[6],"rendering":[7],"for":[8],"solving":[9],"the":[10,21,25,39,56,68,72,93,113],"virtual":[11,69],"view":[12,70,115],"synthesis":[13],"problem":[14],"with":[15,92,103,121],"Bayesian":[16],"inference.":[17],"To":[18],"work":[19],"well,":[20],"inference":[22],"process":[23],"requires":[24],"input":[26,125],"views":[27],"to":[28,31,41,45,50,89],"be":[29,42],"consistent":[30],"yield":[32],"reasonable":[33],"result,":[34],"which":[35,66],"turn":[37],"constrains":[38],"cameras":[40],"very":[43],"close":[44],"each":[46],"other.":[47],"Many":[48],"approaches":[49],"relieving":[51],"such":[52],"constraint":[53],"focus":[54],"on":[55],"prior":[57,108],"model.":[58,109],"In":[59],"this":[60],"paper,":[61],"we":[62],"present":[63],"a":[64,75,123],"method":[65],"treats":[67],"as":[71],"outcome":[73],"of":[74,84,95],"spatial":[76],"motion":[77],"from":[78,127],"one":[79],"real":[80],"view.":[81],"A":[82],"sequence":[83],"images":[85,126],"is":[86],"generated":[87],"heuristically":[88],"preserve":[90],"textures":[91],"aid":[94],"steerable":[96],"filters.":[97],"Interim":[98],"results":[99],"are":[100],"further":[101],"refined":[102],"texture-based":[104],"Markov":[105],"random":[106],"field":[107],"Experiments":[110],"show":[111],"that":[112],"synthesized":[114],"can":[116],"satisfactory":[118],"image":[119],"quality":[120],"only":[122],"few":[124],"wide":[128],"baseline":[129],"cameras.":[130]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}