{"id":"https://openalex.org/W2142190190","doi":"https://doi.org/10.1109/tpami.2015.2408361","title":"Probabilistic ToF and Stereo Data Fusion Based on Mixed Pixels Measurement Models","display_name":"Probabilistic ToF and Stereo Data Fusion Based on Mixed Pixels Measurement Models","publication_year":2015,"publication_date":"2015-03-03","ids":{"openalex":"https://openalex.org/W2142190190","doi":"https://doi.org/10.1109/tpami.2015.2408361","mag":"2142190190","pmid":"https://pubmed.ncbi.nlm.nih.gov/26440266"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2015.2408361","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2015.2408361","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/11577/3146356","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5089380024","display_name":"Carlo Dal Mutto","orcid":null},"institutions":[{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Carlo Dal Mutto","raw_affiliation_strings":["Department of Information Engineering, University of Padova, Italy","Department of Information Engineering University of Padova  Italy"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, University of Padova, Italy","institution_ids":["https://openalex.org/I138689650"]},{"raw_affiliation_string":"Department of Information Engineering University of Padova  Italy","institution_ids":["https://openalex.org/I138689650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070777118","display_name":"Pietro Zanuttigh","orcid":"https://orcid.org/0000-0002-9502-2389"},"institutions":[{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Pietro Zanuttigh","raw_affiliation_strings":["Department of Information Engineering, University of Padova, Italy","Department of Information Engineering University of Padova  Italy"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, University of Padova, Italy","institution_ids":["https://openalex.org/I138689650"]},{"raw_affiliation_string":"Department of Information Engineering University of Padova  Italy","institution_ids":["https://openalex.org/I138689650"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111886098","display_name":"Guido M. Cortelazzo","orcid":null},"institutions":[{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Guido Maria Cortelazzo","raw_affiliation_strings":["Department of Information Engineering, University of Padova, Italy","Department of Information Engineering University of Padova  Italy"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, University of Padova, Italy","institution_ids":["https://openalex.org/I138689650"]},{"raw_affiliation_string":"Department of Information Engineering University of Padova  Italy","institution_ids":["https://openalex.org/I138689650"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5089380024"],"corresponding_institution_ids":["https://openalex.org/I138689650"],"apc_list":null,"apc_paid":null,"fwci":11.2846,"has_fulltext":true,"cited_by_count":37,"citation_normalized_percentile":{"value":0.97959184,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"37","issue":"11","first_page":"2260","last_page":"2272"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9994000196456909,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.998199999332428,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7998189926147461},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6797940731048584},{"id":"https://openalex.org/keywords/belief-propagation","display_name":"Belief propagation","score":0.657390832901001},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6266908049583435},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5954996347427368},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5915610194206238},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5267828106880188},{"id":"https://openalex.org/keywords/depth-map","display_name":"Depth map","score":0.5026779174804688},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.49834513664245605},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.46382251381874084},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.44990074634552},{"id":"https://openalex.org/keywords/stereopsis","display_name":"Stereopsis","score":0.44322195649147034},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44164666533470154},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.43934327363967896},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.21888861060142517},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.19989246129989624},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08785080909729004}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7998189926147461},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6797940731048584},{"id":"https://openalex.org/C152948882","wikidata":"https://www.wikidata.org/wiki/Q4060686","display_name":"Belief propagation","level":3,"score":0.657390832901001},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6266908049583435},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5954996347427368},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5915610194206238},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5267828106880188},{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.5026779174804688},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.49834513664245605},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.46382251381874084},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.44990074634552},{"id":"https://openalex.org/C68537008","wikidata":"https://www.wikidata.org/wiki/Q247932","display_name":"Stereopsis","level":2,"score":0.44322195649147034},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44164666533470154},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.43934327363967896},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.21888861060142517},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.19989246129989624},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08785080909729004},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tpami.2015.2408361","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2015.2408361","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:26440266","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/26440266","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null},{"id":"pmh:oai:www.research.unipd.it:11577/3146356","is_oa":true,"landing_page_url":"http://hdl.handle.net/11577/3146356","pdf_url":null,"source":{"id":"https://openalex.org/S4377196283","display_name":"Research Padua  Archive (University of Padua)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I138689650","host_organization_name":"University of Padua","host_organization_lineage":["https://openalex.org/I138689650"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:www.research.unipd.it:11577/3146356","is_oa":true,"landing_page_url":"http://hdl.handle.net/11577/3146356","pdf_url":null,"source":{"id":"https://openalex.org/S4377196283","display_name":"Research Padua  Archive (University of Padua)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I138689650","host_organization_name":"University of Padua","host_organization_lineage":["https://openalex.org/I138689650"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W33747096","https://openalex.org/W128629268","https://openalex.org/W576304745","https://openalex.org/W1506806321","https://openalex.org/W1513324323","https://openalex.org/W1520110625","https://openalex.org/W1530883782","https://openalex.org/W1554544485","https://openalex.org/W1577818997","https://openalex.org/W1584643859","https://openalex.org/W1663973292","https://openalex.org/W1785762374","https://openalex.org/W1964057156","https://openalex.org/W1974949120","https://openalex.org/W1989378238","https://openalex.org/W1994904900","https://openalex.org/W1998923944","https://openalex.org/W2014316164","https://openalex.org/W2026726159","https://openalex.org/W2026971984","https://openalex.org/W2031914226","https://openalex.org/W2061325611","https://openalex.org/W2073795472","https://openalex.org/W2084853746","https://openalex.org/W2088616581","https://openalex.org/W2095569354","https://openalex.org/W2104599718","https://openalex.org/W2104974755","https://openalex.org/W2107884096","https://openalex.org/W2108619558","https://openalex.org/W2109945199","https://openalex.org/W2112858385","https://openalex.org/W2113137767","https://openalex.org/W2116073066","https://openalex.org/W2117248802","https://openalex.org/W2117880182","https://openalex.org/W2133485760","https://openalex.org/W2134227763","https://openalex.org/W2136660755","https://openalex.org/W2138308861","https://openalex.org/W2143516773","https://openalex.org/W2146749082","https://openalex.org/W2151646056","https://openalex.org/W2156982683","https://openalex.org/W2157093843","https://openalex.org/W2161714083","https://openalex.org/W2166685675","https://openalex.org/W2169282664","https://openalex.org/W2180873826","https://openalex.org/W2182527491","https://openalex.org/W2397908591","https://openalex.org/W4205104450","https://openalex.org/W6634733398","https://openalex.org/W6647903474","https://openalex.org/W6676600194","https://openalex.org/W6677501092","https://openalex.org/W6680072660","https://openalex.org/W6685997325"],"related_works":["https://openalex.org/W2963817320","https://openalex.org/W2377432969","https://openalex.org/W4307680413","https://openalex.org/W2396038226","https://openalex.org/W2109489568","https://openalex.org/W2949726649","https://openalex.org/W2991551317","https://openalex.org/W2137250399","https://openalex.org/W2330843953","https://openalex.org/W24936198"],"abstract_inverted_index":{"This":[0,92],"paper":[1],"proposes":[2],"a":[3,10,14,19,46,49,68],"method":[4],"for":[5,21,30,52],"fusing":[6],"data":[7,56,126],"acquired":[8],"by":[9,24,64],"ToF":[11,25,53,130],"camera":[12],"and":[13,48,54,82,133],"stereo":[15,55],"pair":[16],"based":[17],"on":[18],"model":[20,41,132],"depth":[22,31],"measurement":[23],"cameras":[26],"which":[27,118],"accounts":[28],"also":[29,110],"discontinuity":[32],"artifacts":[33],"due":[34],"to":[35,78,83,96,114],"the":[36,80,85,98,106,128,134,137],"mixed":[37],"pixel":[38],"effect.":[39],"Such":[40],"is":[42,62],"exploited":[43],"within":[44],"both":[45,77],"ML":[47],"MAP-MRF":[50,60,90,108],"frameworks":[51],"fusion.":[57],"The":[58],"proposed":[59,107,129,138],"framework":[61],"characterized":[63],"site-dependent":[65],"range":[66],"values,":[67],"rather":[69],"important":[70],"feature":[71],"since":[72],"it":[73],"can":[74,119],"be":[75,120],"used":[76,121],"improve":[79],"accuracy":[81],"decrease":[84],"computational":[86],"complexity":[87],"of":[88,105,136],"standard":[89],"approaches.":[91],"paper,":[93],"in":[94,122],"order":[95],"optimize":[97],"site":[99],"dependent":[100],"global":[101],"cost":[102],"function":[103],"characteristic":[104],"approach,":[109],"introduces":[111],"an":[112],"extension":[113],"Loopy":[115],"Belief":[116],"Propagation":[117],"other":[123],"contexts.":[124],"Experimental":[125],"validate":[127],"measurements":[131],"effectiveness":[135],"fusion":[139],"techniques.":[140]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":2}],"updated_date":"2026-04-12T07:58:50.170612","created_date":"2025-10-10T00:00:00"}