{"id":"https://openalex.org/W1964256304","doi":"https://doi.org/10.1109/tpami.2014.2315820","title":"Statistical Inverse Ray Tracing for Image-Based 3D Modeling","display_name":"Statistical Inverse Ray Tracing for Image-Based 3D Modeling","publication_year":2014,"publication_date":"2014-04-07","ids":{"openalex":"https://openalex.org/W1964256304","doi":"https://doi.org/10.1109/tpami.2014.2315820","mag":"1964256304","pmid":"https://pubmed.ncbi.nlm.nih.gov/26352636"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2014.2315820","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2014.2315820","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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007420828","display_name":"Shubao Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210134512","display_name":"GE Global Research (United States)","ror":"https://ror.org/03e06qt98","country_code":"US","type":"company","lineage":["https://openalex.org/I4210134512"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shubao Liu","raw_affiliation_strings":["Image Analytics Lab, GE Global Research, Niskayuna, NY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Image Analytics Lab, GE Global Research, Niskayuna, NY","institution_ids":["https://openalex.org/I4210134512"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101891059","display_name":"David B. Cooper","orcid":"https://orcid.org/0000-0002-4225-5242"},"institutions":[{"id":"https://openalex.org/I27804330","display_name":"Brown University","ror":"https://ror.org/05gq02987","country_code":"US","type":"education","lineage":["https://openalex.org/I27804330"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David B. Cooper","raw_affiliation_strings":["Division of Engineering, Brown University, Providence, RI",",Division of Engineering, Brown University, Providence, RI#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Engineering, Brown University, Providence, RI","institution_ids":["https://openalex.org/I27804330"]},{"raw_affiliation_string":",Division of Engineering, Brown University, Providence, RI#TAB#","institution_ids":["https://openalex.org/I27804330"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6982,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.86632847,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"36","issue":"10","first_page":"2074","last_page":"2088"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9995999932289124,"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":0.9958999752998352,"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/markov-random-field","display_name":"Markov random field","score":0.672501802444458},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6016726493835449},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.510662853717804},{"id":"https://openalex.org/keywords/statistical-model","display_name":"Statistical model","score":0.5084482431411743},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.46802932024002075},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.448800653219223},{"id":"https://openalex.org/keywords/tracing","display_name":"Tracing","score":0.41812649369239807},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41769173741340637},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.3530680537223816},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3476106524467468},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.31479430198669434},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.28596633672714233}],"concepts":[{"id":"https://openalex.org/C2778045648","wikidata":"https://www.wikidata.org/wiki/Q176827","display_name":"Markov random field","level":4,"score":0.672501802444458},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6016726493835449},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.510662853717804},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.5084482431411743},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.46802932024002075},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.448800653219223},{"id":"https://openalex.org/C138673069","wikidata":"https://www.wikidata.org/wiki/Q322229","display_name":"Tracing","level":2,"score":0.41812649369239807},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41769173741340637},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.3530680537223816},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3476106524467468},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.31479430198669434},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.28596633672714233},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2014.2315820","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2014.2315820","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:26352636","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/26352636","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}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G653432436","display_name":"III-CXT-Core Large: Computer Vision Research: Promoting Paradigm Shifts in Archaeology","funder_award_id":"0808718","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320309070","display_name":"Brown University","ror":"https://ror.org/05gq02987"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W1480873147","https://openalex.org/W1539230104","https://openalex.org/W1541700072","https://openalex.org/W1558928994","https://openalex.org/W1567885833","https://openalex.org/W1593593811","https://openalex.org/W1633397821","https://openalex.org/W1908470451","https://openalex.org/W1974053251","https://openalex.org/W1977925962","https://openalex.org/W2007326328","https://openalex.org/W2008073424","https://openalex.org/W2013483851","https://openalex.org/W2033893696","https://openalex.org/W2046629160","https://openalex.org/W2085536058","https://openalex.org/W2091297047","https://openalex.org/W2097924771","https://openalex.org/W2098079560","https://openalex.org/W2101466122","https://openalex.org/W2105365768","https://openalex.org/W2111240761","https://openalex.org/W2116546169","https://openalex.org/W2117331827","https://openalex.org/W2119213281","https://openalex.org/W2120977599","https://openalex.org/W2121535648","https://openalex.org/W2126521141","https://openalex.org/W2129404737","https://openalex.org/W2132055825","https://openalex.org/W2137341062","https://openalex.org/W2137813581","https://openalex.org/W2141690762","https://openalex.org/W2142792228","https://openalex.org/W2152922136","https://openalex.org/W2160014001","https://openalex.org/W2167085613","https://openalex.org/W2167947196","https://openalex.org/W2168545424","https://openalex.org/W2169980043","https://openalex.org/W2171393712","https://openalex.org/W2229412420","https://openalex.org/W2293008799","https://openalex.org/W2583704680","https://openalex.org/W4235903938","https://openalex.org/W4376453786","https://openalex.org/W6628806528","https://openalex.org/W6632045966","https://openalex.org/W6632520372","https://openalex.org/W6635584365","https://openalex.org/W6637048030","https://openalex.org/W6652231383","https://openalex.org/W6674981099","https://openalex.org/W6675090154","https://openalex.org/W6684904623","https://openalex.org/W6940816443"],"related_works":["https://openalex.org/W4233585817","https://openalex.org/W2016045932","https://openalex.org/W1675950995","https://openalex.org/W2188882668","https://openalex.org/W2086619084","https://openalex.org/W2004379491","https://openalex.org/W1815275284","https://openalex.org/W2083140487","https://openalex.org/W2035045952","https://openalex.org/W2356314591"],"abstract_inverted_index":{"This":[0,70],"paper":[1],"proposes":[2],"a":[3,40,60],"new":[4,24],"formulation":[5,62],"and":[6,20,32,144],"solution":[7],"to":[8,103],"image-based":[9],"3D":[10],"modeling":[11,19,143],"(aka":[12],"\"multi-view":[13],"stereo\")":[14],"based":[15,46],"on":[16,47,156],"generative":[17],"statistical":[18,27],"inference.":[21],"The":[22],"proposed":[23,154],"approach,":[25],"named":[26],"inverse":[28],"ray":[29,49,87,134],"tracing,":[30],"models":[31,90],"estimates":[33],"the":[34,83,86,91,107,128,133,139,148,153],"occlusion":[35,149],"relationship":[36,150],"accurately":[37],"through":[38],"optimizing":[39],"physically":[41],"sound":[42],"image":[43,80],"generation":[44],"model":[45,72],"volumetric":[48],"tracing.":[50],"Together":[51],"with":[52,111,117],"geometric":[53],"priors,":[54],"they":[55],"are":[56],"put":[57],"together":[58],"into":[59],"Bayesian":[61],"known":[63],"as":[64],"Markov":[65],"random":[66,98],"field":[67],"(MRF)":[68],"model.":[69],"MRF":[71],"is":[73,121],"different":[74],"from":[75],"typical":[76],"MRFs":[77],"used":[78],"in":[79,82],"analysis":[81],"sense":[84],"that":[85],"clique,":[88],"which":[89],"ray-tracing":[92],"process,":[93],"consists":[94],"of":[95,97,101,132,141,147],"thousands":[96],"variables":[99],"instead":[100],"two":[102],"dozens.":[104],"To":[105],"handle":[106],"computational":[108,119],"challenges":[109],"associated":[110],"large":[112],"clique":[113],"size,":[114],"an":[115],"algorithm":[116,155],"linear":[118],"complexity":[120],"developed":[122],"by":[123,151],"exploiting,":[124],"using":[125],"dynamic":[126],"programming,":[127],"recursive":[129],"chain":[130],"structure":[131],"clique.":[135],"We":[136],"further":[137],"demonstrate":[138],"benefit":[140],"exact":[142],"accurate":[145],"estimation":[146],"evaluating":[152],"several":[157],"challenging":[158],"data":[159],"sets.":[160]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
