{"id":"https://openalex.org/W4313054523","doi":"https://doi.org/10.1109/iros47612.2022.9981148","title":"Floorplan-Aware Camera Poses Refinement","display_name":"Floorplan-Aware Camera Poses Refinement","publication_year":2022,"publication_date":"2022-10-23","ids":{"openalex":"https://openalex.org/W4313054523","doi":"https://doi.org/10.1109/iros47612.2022.9981148"},"language":"en","primary_location":{"id":"doi:10.1109/iros47612.2022.9981148","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros47612.2022.9981148","pdf_url":null,"source":{"id":"https://openalex.org/S4363607704","display_name":"2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","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/A5061225686","display_name":"Anna Sokolova","orcid":"https://orcid.org/0000-0002-2772-7395"},"institutions":[{"id":"https://openalex.org/I4210141363","display_name":"Samsung (Russia)","ror":"https://ror.org/051an6p98","country_code":"RU","type":"company","lineage":["https://openalex.org/I4210141363"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"Anna Sokolova","raw_affiliation_strings":["Samsung AI Center,Moscow,Russia","Samsung AI Center, Moscow, Russia"],"affiliations":[{"raw_affiliation_string":"Samsung AI Center,Moscow,Russia","institution_ids":["https://openalex.org/I4210141363"]},{"raw_affiliation_string":"Samsung AI Center, Moscow, Russia","institution_ids":["https://openalex.org/I4210141363"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067059000","display_name":"Filipp Nikitin","orcid":"https://orcid.org/0000-0002-1157-9471"},"institutions":[{"id":"https://openalex.org/I4210141363","display_name":"Samsung (Russia)","ror":"https://ror.org/051an6p98","country_code":"RU","type":"company","lineage":["https://openalex.org/I4210141363"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Filipp Nikitin","raw_affiliation_strings":["Samsung AI Center,Moscow,Russia","Samsung AI Center, Moscow, Russia"],"affiliations":[{"raw_affiliation_string":"Samsung AI Center,Moscow,Russia","institution_ids":["https://openalex.org/I4210141363"]},{"raw_affiliation_string":"Samsung AI Center, Moscow, Russia","institution_ids":["https://openalex.org/I4210141363"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062803007","display_name":"Anna Vorontsova","orcid":null},"institutions":[{"id":"https://openalex.org/I4210141363","display_name":"Samsung (Russia)","ror":"https://ror.org/051an6p98","country_code":"RU","type":"company","lineage":["https://openalex.org/I4210141363"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Anna Vorontsova","raw_affiliation_strings":["Samsung AI Center,Moscow,Russia","Samsung AI Center, Moscow, Russia"],"affiliations":[{"raw_affiliation_string":"Samsung AI Center,Moscow,Russia","institution_ids":["https://openalex.org/I4210141363"]},{"raw_affiliation_string":"Samsung AI Center, Moscow, Russia","institution_ids":["https://openalex.org/I4210141363"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065787419","display_name":"Anton Konushin","orcid":"https://orcid.org/0000-0002-6152-0021"},"institutions":[{"id":"https://openalex.org/I4210141363","display_name":"Samsung (Russia)","ror":"https://ror.org/051an6p98","country_code":"RU","type":"company","lineage":["https://openalex.org/I4210141363"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Anton Konushin","raw_affiliation_strings":["Samsung AI Center,Moscow,Russia","Samsung AI Center, Moscow, Russia"],"affiliations":[{"raw_affiliation_string":"Samsung AI Center,Moscow,Russia","institution_ids":["https://openalex.org/I4210141363"]},{"raw_affiliation_string":"Samsung AI Center, Moscow, Russia","institution_ids":["https://openalex.org/I4210141363"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5061225686"],"corresponding_institution_ids":["https://openalex.org/I4210141363"],"apc_list":null,"apc_paid":null,"fwci":0.2777,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.48323794,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/bundle-adjustment","display_name":"Bundle adjustment","score":0.8050891160964966},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7837422490119934},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7776633501052856},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7566407322883606},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.6858173608779907},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.5678221583366394},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.46791842579841614},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.4452096223831177},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.43115493655204773},{"id":"https://openalex.org/keywords/3d-reconstruction","display_name":"3D reconstruction","score":0.42378681898117065},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4219309389591217},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.25774139165878296}],"concepts":[{"id":"https://openalex.org/C179458375","wikidata":"https://www.wikidata.org/wiki/Q1020763","display_name":"Bundle adjustment","level":3,"score":0.8050891160964966},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7837422490119934},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7776633501052856},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7566407322883606},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.6858173608779907},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5678221583366394},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.46791842579841614},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.4452096223831177},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.43115493655204773},{"id":"https://openalex.org/C109950114","wikidata":"https://www.wikidata.org/wiki/Q4464732","display_name":"3D reconstruction","level":2,"score":0.42378681898117065},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4219309389591217},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.25774139165878296},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iros47612.2022.9981148","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros47612.2022.9981148","pdf_url":null,"source":{"id":"https://openalex.org/S4363607704","display_name":"2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.7099999785423279,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W6837029","https://openalex.org/W1535064315","https://openalex.org/W1898543992","https://openalex.org/W2032684600","https://openalex.org/W2036895101","https://openalex.org/W2060042080","https://openalex.org/W2094368692","https://openalex.org/W2185649600","https://openalex.org/W2410627718","https://openalex.org/W2417065300","https://openalex.org/W2561303380","https://openalex.org/W2738816079","https://openalex.org/W2767983220","https://openalex.org/W2776330782","https://openalex.org/W2808571300","https://openalex.org/W2899411857","https://openalex.org/W2909791330","https://openalex.org/W2927562344","https://openalex.org/W2947450214","https://openalex.org/W3035030518","https://openalex.org/W3035086574","https://openalex.org/W3043075211","https://openalex.org/W3106458387","https://openalex.org/W3120190381","https://openalex.org/W3120651375","https://openalex.org/W3158563228","https://openalex.org/W3173193115","https://openalex.org/W3193551877","https://openalex.org/W3209842724","https://openalex.org/W4295312788","https://openalex.org/W6766978945","https://openalex.org/W6800540912"],"related_works":["https://openalex.org/W2124169648","https://openalex.org/W2162809384","https://openalex.org/W1422003157","https://openalex.org/W2144657392","https://openalex.org/W2737016529","https://openalex.org/W2904835521","https://openalex.org/W4381827167","https://openalex.org/W4239948939","https://openalex.org/W1986528120","https://openalex.org/W2109812742"],"abstract_inverted_index":{"Processing":[0],"large":[1],"indoor":[2,49],"scenes":[3],"is":[4,28,45,84],"a":[5,21,56,82,85,94,106,115,136,156],"challenging":[6],"task,":[7],"as":[8,34,73],"scan":[9],"registration":[10],"and":[11,37,65,76,114,126,164],"camera":[12,129],"trajectory":[13],"estimation":[14],"methods":[15],"accumulate":[16],"errors":[17],"across":[18],"time.":[19],"As":[20],"result,":[22],"the":[23,40,63,70,122,128,145,149,153,161],"quality":[24],"of":[25,43,55,69,88,105,155,174],"reconstructed":[26],"scans":[27],"insufficient":[29],"for":[30],"some":[31],"applications,":[32],"such":[33,72,81],"visual-based":[35],"localization":[36],"navigation,":[38],"where":[39],"correct":[41],"position":[42],"walls":[44],"crucial.":[46],"For":[47],"many":[48],"scenes,":[50],"there":[51],"exists":[52],"an":[53,111],"image":[54],"technical":[57],"ftoorplan":[58,83,171],"that":[59,80,120,143,169],"contains":[60],"information":[61],"about":[62,148],"geometry":[64],"main":[66],"structural":[67],"elements":[68],"scene,":[71],"walls,":[74],"partitions,":[75],"doors.":[77],"We":[78,134],"argue":[79],"useful":[86],"source":[87],"spatial":[89],"information,":[90],"which":[91],"can":[92],"guide":[93],"3D":[95,101,175],"model":[96],"optimization.":[97],"The":[98],"standard":[99],"RGB-D":[100,112,124],"reconstruction":[102],"pipeline":[103],"consists":[104],"tracking":[107],"module":[108,119],"applied":[109],"to":[110,131],"sequence":[113,125],"bundle":[116],"adjustment":[117],"(BA)":[118],"takes":[121],"posed":[123],"corrects":[127],"poses":[130],"improve":[132],"consistency.":[133],"propose":[135],"novel":[137],"optimization":[138],"algorithm":[139],"expanding":[140],"conventional":[141],"BA":[142],"leverages":[144],"prior":[146],"knowledge":[147],"scene":[150],"structure":[151],"in":[152],"form":[154],"ftoorplan.":[157],"Our":[158],"experiments":[159],"on":[160],"Redwood":[162],"dataset":[163],"our":[165],"self-captured":[166],"data":[167],"demonstrate":[168],"utilizing":[170],"improves":[172],"accuracy":[173],"reconstructions.":[176]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}