{"id":"https://openalex.org/W2101092098","doi":"https://doi.org/10.1109/iccv.2007.4409013","title":"Temporally Consistent Reconstruction from Multiple Video Streams Using Enhanced Belief Propagation","display_name":"Temporally Consistent Reconstruction from Multiple Video Streams Using Enhanced Belief Propagation","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W2101092098","doi":"https://doi.org/10.1109/iccv.2007.4409013","mag":"2101092098"},"language":"en","primary_location":{"id":"doi:10.1109/iccv.2007.4409013","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2007.4409013","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE 11th International Conference on Computer Vision","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/A5075799258","display_name":"E. Scott Larsen","orcid":null},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"E. Scott Larsen","raw_affiliation_strings":["Google, Inc., Pittsburgh, PA, USA","Google Inc., Pittsburgh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google, Inc., Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I1291425158"]},{"raw_affiliation_string":"Google Inc., Pittsburgh","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024073593","display_name":"Philippos Mordohai","orcid":"https://orcid.org/0000-0002-9671-4408"},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Philippos Mordohai","raw_affiliation_strings":["University of North Carolina, Chapel Hill, Chapel Hill, NC, USA","University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA. mordohai@cs.unc.edu"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of North Carolina, Chapel Hill, Chapel Hill, NC, USA","institution_ids":["https://openalex.org/I114027177"]},{"raw_affiliation_string":"University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA. mordohai@cs.unc.edu","institution_ids":["https://openalex.org/I114027177"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021908609","display_name":"Marc Pollefeys","orcid":"https://orcid.org/0000-0003-2448-2318"},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Marc Pollefeys","raw_affiliation_strings":["University of North Carolina, Chapel Hill, Chapel Hill, NC, USA","University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA. marc@cs.unc.edu"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of North Carolina, Chapel Hill, Chapel Hill, NC, USA","institution_ids":["https://openalex.org/I114027177"]},{"raw_affiliation_string":"University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA. marc@cs.unc.edu","institution_ids":["https://openalex.org/I114027177"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014889758","display_name":"Henry Fuchs","orcid":"https://orcid.org/0000-0002-8834-4638"},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Henry Fuchs","raw_affiliation_strings":["University of North Carolina, Chapel Hill, Chapel Hill, NC, USA","University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA. fuchs@cs.unc.edu"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of North Carolina, Chapel Hill, Chapel Hill, NC, USA","institution_ids":["https://openalex.org/I114027177"]},{"raw_affiliation_string":"University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA. fuchs@cs.unc.edu","institution_ids":["https://openalex.org/I114027177"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":80,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"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":0.9994999766349792,"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/T10741","display_name":"Video Coding and Compression Technologies","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.7906405329704285},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7569258213043213},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7293936610221863},{"id":"https://openalex.org/keywords/belief-propagation","display_name":"Belief propagation","score":0.7160667777061462},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.6856781840324402},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.675000786781311},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.6004512906074524},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5039400458335876},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.4956413507461548},{"id":"https://openalex.org/keywords/reference-frame","display_name":"Reference frame","score":0.4733072519302368},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4594190716743469},{"id":"https://openalex.org/keywords/3d-reconstruction","display_name":"3D reconstruction","score":0.4261455237865448},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4190409481525421},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.23045110702514648},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.20172983407974243},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.12413430213928223}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7906405329704285},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7569258213043213},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7293936610221863},{"id":"https://openalex.org/C152948882","wikidata":"https://www.wikidata.org/wiki/Q4060686","display_name":"Belief propagation","level":3,"score":0.7160667777061462},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.6856781840324402},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.675000786781311},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.6004512906074524},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5039400458335876},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.4956413507461548},{"id":"https://openalex.org/C172849965","wikidata":"https://www.wikidata.org/wiki/Q3148875","display_name":"Reference frame","level":3,"score":0.4733072519302368},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4594190716743469},{"id":"https://openalex.org/C109950114","wikidata":"https://www.wikidata.org/wiki/Q4464732","display_name":"3D reconstruction","level":2,"score":0.4261455237865448},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4190409481525421},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.23045110702514648},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.20172983407974243},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.12413430213928223},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccv.2007.4409013","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2007.4409013","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE 11th International Conference on Computer Vision","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":25,"referenced_works":["https://openalex.org/W190701057","https://openalex.org/W1504694699","https://openalex.org/W1575492150","https://openalex.org/W2019599312","https://openalex.org/W2098500213","https://openalex.org/W2101744775","https://openalex.org/W2104974755","https://openalex.org/W2107422845","https://openalex.org/W2109918470","https://openalex.org/W2119203401","https://openalex.org/W2119781527","https://openalex.org/W2121033664","https://openalex.org/W2123271365","https://openalex.org/W2129671742","https://openalex.org/W2156559507","https://openalex.org/W2159080219","https://openalex.org/W2167141871","https://openalex.org/W2168545424","https://openalex.org/W2318485605","https://openalex.org/W3015613699","https://openalex.org/W6630136815","https://openalex.org/W6655383422","https://openalex.org/W6676124887","https://openalex.org/W6676610624","https://openalex.org/W6677650782"],"related_works":["https://openalex.org/W2963817320","https://openalex.org/W4307680413","https://openalex.org/W2377432969","https://openalex.org/W2396038226","https://openalex.org/W2109489568","https://openalex.org/W1923998589","https://openalex.org/W2949726649","https://openalex.org/W4226280974","https://openalex.org/W2096464203","https://openalex.org/W2884922817"],"abstract_inverted_index":{"We":[0,131,171,180],"present":[1,172,182],"an":[2],"approach":[3],"for":[4,94,135,140],"3D":[5,112],"reconstruction":[6,27,40,67,162],"from":[7,128],"multiple":[8],"video":[9,178],"streams":[10],"taken":[11],"by":[12,41,188],"static,":[13],"synchronized":[14],"and":[15,55,87,118,121,139,155,163],"calibrated":[16],"cameras":[17],"that":[18,114],"is":[19,33],"capable":[20],"of":[21,28,38,48,63,97,167],"enforcing":[22],"temporal":[23,119],"consistency":[24],"on":[25,110,174],"the":[26,36,39,49,61,64,104,153,165],"successive":[29],"frames.":[30],"Our":[31],"goal":[32],"to":[34,57,80,108,122,125],"improve":[35],"quality":[37,62],"finding":[42],"corresponding":[43],"pixels":[44],"in":[45,145,157,164],"subsequent":[46],"frames":[47],"same":[50],"camera":[51],"using":[52],"optical":[53,91],"flow,":[54],"also":[56,132,181],"at":[58],"least":[59],"maintain":[60],"single":[65],"time-frame":[66],"when":[68],"these":[69],"correspondences":[70],"are":[71],"wrong":[72],"or":[73],"cannot":[74],"be":[75,123],"found.":[76],"This":[77],"allows":[78],"us":[79],"process":[81],"scenes":[82],"with":[83,185],"fast":[84],"motion,":[85],"occlusions":[86,89],"self-":[88],"where":[90],"flow":[92],"fails":[93],"large":[95],"numbers":[96],"pixels.":[98],"To":[99],"this":[100],"end,":[101],"we":[102],"modify":[103],"belief":[105],"propagation":[106],"algorithm":[107],"operate":[109],"a":[111,137,159],"graph":[113],"includes":[115],"both":[116],"spatial":[117],"neighbors":[120],"able":[124],"discard":[126],"messages":[127],"outlying":[129],"neighbors.":[130],"propose":[133],"methods":[134],"introducing":[136],"bias":[138,149],"suppressing":[141],"noise":[142],"typically":[143],"observed":[144],"uniform":[146],"regions.":[147],"The":[148],"encapsulates":[150],"information":[151],"about":[152],"background":[154],"aids":[156],"achieving":[158],"temporally":[160],"consistent":[161],"mitigation":[166],"occlusion":[168],"related":[169],"errors.":[170],"results":[173,186],"publicly":[175],"available":[176],"real":[177],"sequences.":[179],"quantitative":[183],"comparisons":[184],"obtained":[187],"other":[189],"researchers.":[190]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":9},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":12},{"year":2012,"cited_by_count":10}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}