{"id":"https://openalex.org/W2131948010","doi":"https://doi.org/10.1109/cvprw.2011.5981835","title":"Near real-time Fast Bilateral Stereo on the GPU","display_name":"Near real-time Fast Bilateral Stereo on the GPU","publication_year":2011,"publication_date":"2011-06-01","ids":{"openalex":"https://openalex.org/W2131948010","doi":"https://doi.org/10.1109/cvprw.2011.5981835","mag":"2131948010"},"language":"en","primary_location":{"id":"doi:10.1109/cvprw.2011.5981835","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2011.5981835","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"CVPR 2011 WORKSHOPS","raw_type":"proceedings-article"},"type":"conference-paper","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/A5072569849","display_name":"Stefano Mattoccia","orcid":"https://orcid.org/0000-0002-3681-7704"},"institutions":[{"id":"https://openalex.org/I9360294","display_name":"University of Bologna","ror":"https://ror.org/01111rn36","country_code":"IT","type":"education","lineage":["https://openalex.org/I9360294"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Stefano Mattoccia","raw_affiliation_strings":["DEIS-ARCES, University of Bologna, Italy","DEIS/ARCES - University of Bologna"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DEIS-ARCES, University of Bologna, Italy","institution_ids":["https://openalex.org/I9360294"]},{"raw_affiliation_string":"DEIS/ARCES - University of Bologna","institution_ids":["https://openalex.org/I9360294"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056693467","display_name":"Marco Viti","orcid":null},"institutions":[{"id":"https://openalex.org/I9360294","display_name":"University of Bologna","ror":"https://ror.org/01111rn36","country_code":"IT","type":"education","lineage":["https://openalex.org/I9360294"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Marco Viti","raw_affiliation_strings":["DEIS, University of Bologna, Italy","DEIS - Univ. of Bologna"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DEIS, University of Bologna, Italy","institution_ids":["https://openalex.org/I9360294"]},{"raw_affiliation_string":"DEIS - Univ. of Bologna","institution_ids":["https://openalex.org/I9360294"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078310448","display_name":"Florian Ries","orcid":"https://orcid.org/0000-0002-6223-1774"},"institutions":[{"id":"https://openalex.org/I9360294","display_name":"University of Bologna","ror":"https://ror.org/01111rn36","country_code":"IT","type":"education","lineage":["https://openalex.org/I9360294"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Florian Ries","raw_affiliation_strings":["ARCES, University of Bologna, Italy","[ARCES, University of Bologna]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ARCES, University of Bologna, Italy","institution_ids":["https://openalex.org/I9360294"]},{"raw_affiliation_string":"[ARCES, University of Bologna]","institution_ids":["https://openalex.org/I9360294"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I9360294"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"3","issue":null,"first_page":"136","last_page":"143"},"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9962000250816345,"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":0.9902999997138977,"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/cuda","display_name":"CUDA","score":0.9050291776657104},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.8208721280097961},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8111141920089722},{"id":"https://openalex.org/keywords/general-purpose-computing-on-graphics-processing-units","display_name":"General-purpose computing on graphics processing units","score":0.5521371960639954},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.5236147046089172},{"id":"https://openalex.org/keywords/execution-time","display_name":"Execution time","score":0.42978107929229736},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.41807568073272705},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4082062840461731},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3461887240409851},{"id":"https://openalex.org/keywords/computational-science","display_name":"Computational science","score":0.3256213068962097},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3040844798088074},{"id":"https://openalex.org/keywords/graphics","display_name":"Graphics","score":0.1312384307384491}],"concepts":[{"id":"https://openalex.org/C2778119891","wikidata":"https://www.wikidata.org/wiki/Q477690","display_name":"CUDA","level":2,"score":0.9050291776657104},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.8208721280097961},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8111141920089722},{"id":"https://openalex.org/C50630238","wikidata":"https://www.wikidata.org/wiki/Q971505","display_name":"General-purpose computing on graphics processing units","level":3,"score":0.5521371960639954},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.5236147046089172},{"id":"https://openalex.org/C2989134064","wikidata":"https://www.wikidata.org/wiki/Q288510","display_name":"Execution time","level":2,"score":0.42978107929229736},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.41807568073272705},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4082062840461731},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3461887240409851},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.3256213068962097},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3040844798088074},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.1312384307384491}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/cvprw.2011.5981835","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2011.5981835","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"CVPR 2011 WORKSHOPS","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.307.7453","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.307.7453","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.vision.deis.unibo.it/smatt/Papers/ECVW2011/Near real-time Fast Bilateral Stereo on the GPU.pdf","raw_type":"text"},{"id":"pmh:oai:cris.unibo.it:11585/120343","is_oa":false,"landing_page_url":"http://hdl.handle.net/11585/120343","pdf_url":null,"source":{"id":"https://openalex.org/S4306402579","display_name":"Archivio istituzionale della ricerca (Alma Mater Studiorum Universit\u00e0 di Bologna)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210117483","host_organization_name":"Istituto di Ematologia di Bologna","host_organization_lineage":["https://openalex.org/I4210117483"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320309480","display_name":"Nvidia","ror":"https://ror.org/03jdj4y14"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1499640186","https://openalex.org/W1520110625","https://openalex.org/W1762731526","https://openalex.org/W1854342422","https://openalex.org/W1968934049","https://openalex.org/W2011807137","https://openalex.org/W2059212813","https://openalex.org/W2083161364","https://openalex.org/W2097368509","https://openalex.org/W2099646760","https://openalex.org/W2104974755","https://openalex.org/W2107884096","https://openalex.org/W2123782500","https://openalex.org/W2125186487","https://openalex.org/W2138123839","https://openalex.org/W2143425433","https://openalex.org/W2150737612","https://openalex.org/W2155287007","https://openalex.org/W2163883567","https://openalex.org/W2398736067","https://openalex.org/W4253999777","https://openalex.org/W6631120827","https://openalex.org/W6674764965"],"related_works":["https://openalex.org/W1973046741","https://openalex.org/W2983282793","https://openalex.org/W1963859303","https://openalex.org/W2364044215","https://openalex.org/W2389600408","https://openalex.org/W240129890","https://openalex.org/W3048701459","https://openalex.org/W2149078538","https://openalex.org/W2080146221","https://openalex.org/W2370314112"],"abstract_inverted_index":{"State":[0],"of":[1,67,69,102],"the":[2,62,65,103,146],"art":[3,104],"local":[4,37,105],"stereo":[5,128],"correspondence":[6],"algorithms":[7,25],"that":[8,93,121],"adapt":[9],"their":[10,34,53],"supports":[11],"to":[12,16,24,61,87,95,100,145],"image":[13],"content":[14],"allow":[15],"infer":[17],"very":[18],"accurate":[19,36,84,130],"disparity":[20,29,133],"maps":[21,134],"often":[22],"comparable":[23,99],"based":[26,39],"on":[27,40,110,116,126],"global":[28],"optimization":[30],"methods.":[31],"However,":[32],"despite":[33],"effectiveness,":[35],"approaches":[38,106],"this":[41,77],"methodology":[42],"are":[43],"also":[44],"computationally":[45],"expensive":[46],"and":[47,83,131],"several":[48],"simplifications":[49],"aimed":[50],"at":[51],"reducing":[52],"computational":[54],"load":[55],"have":[56],"been":[57],"proposed.":[58],"Unfortunately,":[59],"compared":[60],"original":[63],"approaches,":[64],"effectiveness":[66],"most":[68],"these":[70],"simplified":[71],"techniques":[72],"is":[73],"significantly":[74],"reduced.":[75],"In":[76],"paper,":[78],"we":[79],"consider":[80],"an":[81],"efficient":[82],"algorithm":[85],"referred":[86],"as":[88],"Fast":[89],"Bilateral":[90],"Stereo":[91],"(FBS)":[92],"enables":[94],"efficiently":[96],"obtain":[97],"results":[98,115],"state":[101],"describing":[107],"its":[108],"mapping":[109],"GPUs":[111,119],"with":[112,143],"CUDA.":[113],"Experimental":[114],"two":[117],"NVIDIA":[118],"show":[120],"our":[122],"CUDA":[123],"implementation":[124],"delivers,":[125],"standard":[127],"pairs,":[129],"dense":[132],"in":[135],"near":[136],"real-time":[137],"achieving":[138],"speedup":[139],"greater":[140],"than":[141],"100X":[142],"respect":[144],"equivalent":[147],"CPU-based":[148],"implementation.":[149]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":5}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
