{"id":"https://openalex.org/W2508736363","doi":"https://doi.org/10.1109/icip.2016.7533117","title":"Bayesian based view synthesis for multi-planar structures","display_name":"Bayesian based view synthesis for multi-planar structures","publication_year":2016,"publication_date":"2016-08-17","ids":{"openalex":"https://openalex.org/W2508736363","doi":"https://doi.org/10.1109/icip.2016.7533117","mag":"2508736363"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2016.7533117","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7533117","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Image Processing (ICIP)","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/A5013559952","display_name":"Jie Hu","orcid":"https://orcid.org/0000-0003-2219-2587"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jie Hu","raw_affiliation_strings":["State University of New York, Buffalo, NY"],"affiliations":[{"raw_affiliation_string":"State University of New York, Buffalo, NY","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002277899","display_name":"Chang Wen Chen","orcid":"https://orcid.org/0000-0002-6720-234X"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chang Wen Chen","raw_affiliation_strings":["State University of New York, Buffalo, NY"],"affiliations":[{"raw_affiliation_string":"State University of New York, Buffalo, NY","institution_ids":["https://openalex.org/I63190737"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5013559952"],"corresponding_institution_ids":["https://openalex.org/I63190737"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07113968,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"4032","last_page":"4036"},"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":0.9994000196456909,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9968000054359436,"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/view-synthesis","display_name":"View synthesis","score":0.8264230489730835},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.692315399646759},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.6585757732391357},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5863419771194458},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5790266394615173},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5467367172241211},{"id":"https://openalex.org/keywords/planar","display_name":"Planar","score":0.5396314859390259},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.4425720274448395},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.4417891800403595},{"id":"https://openalex.org/keywords/image-plane","display_name":"Image plane","score":0.43036895990371704},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.41438522934913635},{"id":"https://openalex.org/keywords/image-formation","display_name":"Image formation","score":0.4132586121559143},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3755888342857361},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.31981849670410156},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20818710327148438},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.14136332273483276}],"concepts":[{"id":"https://openalex.org/C2776449333","wikidata":"https://www.wikidata.org/wiki/Q7928781","display_name":"View synthesis","level":3,"score":0.8264230489730835},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.692315399646759},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.6585757732391357},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5863419771194458},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5790266394615173},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5467367172241211},{"id":"https://openalex.org/C134786449","wikidata":"https://www.wikidata.org/wiki/Q3391255","display_name":"Planar","level":2,"score":0.5396314859390259},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.4425720274448395},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.4417891800403595},{"id":"https://openalex.org/C120515352","wikidata":"https://www.wikidata.org/wiki/Q2564580","display_name":"Image plane","level":3,"score":0.43036895990371704},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.41438522934913635},{"id":"https://openalex.org/C125045340","wikidata":"https://www.wikidata.org/wiki/Q6002224","display_name":"Image formation","level":3,"score":0.4132586121559143},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3755888342857361},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.31981849670410156},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20818710327148438},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.14136332273483276},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2016.7533117","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7533117","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.5400000214576721}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1233635381","https://openalex.org/W1761034959","https://openalex.org/W2000818808","https://openalex.org/W2004190369","https://openalex.org/W2005126631","https://openalex.org/W2028687412","https://openalex.org/W2035556039","https://openalex.org/W2063366997","https://openalex.org/W2081225954","https://openalex.org/W2098362450","https://openalex.org/W2114674762","https://openalex.org/W2115840331","https://openalex.org/W2119946558","https://openalex.org/W2166601465","https://openalex.org/W2294985758","https://openalex.org/W2295936755","https://openalex.org/W4249374529","https://openalex.org/W6628170318","https://openalex.org/W6677794103"],"related_works":["https://openalex.org/W3206964005","https://openalex.org/W4226100462","https://openalex.org/W3035116386","https://openalex.org/W4224240466","https://openalex.org/W4295815413","https://openalex.org/W1691198090","https://openalex.org/W2067685950","https://openalex.org/W27470380","https://openalex.org/W2006375888","https://openalex.org/W2028505601"],"abstract_inverted_index":{"With":[0],"the":[1,43,97,109,139],"rapid":[2],"development":[3],"of":[4,45],"mobile":[5],"applications":[6],"in":[7,124],"recent":[8],"years,":[9],"there":[10],"is":[11,122,142],"a":[12,35,66,113],"strong":[13],"desire":[14],"on":[15],"light":[16],"weight":[17],"algorithm":[18],"for":[19,93],"view":[20,38,71,99,119],"synthesis":[21,39,72,120],"using":[22,74,103],"uncalibrated":[23],"images":[24],"and":[25,62,90,107,151],"limited":[26],"geometry":[27,76],"information.":[28,77],"To":[29],"address":[30],"this":[31,53],"challenge,":[32],"we":[33,55,80],"propose":[34],"Bayesian":[36,67,101],"based":[37],"framework":[40],"to":[41,69,128,144],"support":[42],"rendering":[44],"complex":[46],"scene":[47],"with":[48,65,148],"multiple":[49,86],"planar":[50],"structures.":[51],"In":[52],"framework,":[54],"integrate":[56],"image":[57,84,111],"segmentation,":[58],"reference":[59,83,105],"plane":[60],"selection":[61],"hole":[63,114],"filling":[64,115],"formulation":[68],"perform":[70],"without":[73],"3D":[75],"More":[78],"specifically,":[79],"partition":[81],"every":[82],"into":[85],"planes,":[87,106],"estimate":[88],"geometric":[89],"photometric":[91],"parameters":[92],"each":[94],"plane,":[95],"synthesize":[96],"novel":[98],"by":[100,112],"modeling":[102],"selected":[104],"refine":[108],"rendered":[110],"scheme.":[116],"The":[117,134],"entire":[118],"process":[121],"executed":[123],"an":[125],"iterative":[126],"manner":[127],"pursue":[129],"high":[130],"quality":[131],"visual":[132],"results.":[133],"experimental":[135],"results":[136],"show":[137],"that":[138],"proposed":[140],"method":[141],"able":[143],"achieve":[145],"desired":[146],"performance":[147],"less":[149],"distortion":[150],"higher":[152],"resolution.":[153]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}