{"id":"https://openalex.org/W2032871891","doi":"https://doi.org/10.1109/ismar.2013.6671767","title":"MonoFusion: Real-time 3D reconstruction of small scenes with a single web camera","display_name":"MonoFusion: Real-time 3D reconstruction of small scenes with a single web camera","publication_year":2013,"publication_date":"2013-10-01","ids":{"openalex":"https://openalex.org/W2032871891","doi":"https://doi.org/10.1109/ismar.2013.6671767","mag":"2032871891"},"language":"en","primary_location":{"id":"doi:10.1109/ismar.2013.6671767","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ismar.2013.6671767","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)","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/A5110691595","display_name":"Vivek Pradeep","orcid":null},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Vivek Pradeep","raw_affiliation_strings":["Microsoft Corporation and Microsoft Research, Cambridge, UK","Microsoft Corp. & Microsoft Res., Cambridge, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Corporation and Microsoft Research, Cambridge, UK","institution_ids":["https://openalex.org/I4210164937"]},{"raw_affiliation_string":"Microsoft Corp. & Microsoft Res., Cambridge, UK","institution_ids":["https://openalex.org/I4210164937"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056242458","display_name":"Christoph Rhemann","orcid":null},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Christoph Rhemann","raw_affiliation_strings":["Microsoft Corporation and Microsoft Research, Cambridge, UK","Microsoft Corp. & Microsoft Res., Cambridge, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Corporation and Microsoft Research, Cambridge, UK","institution_ids":["https://openalex.org/I4210164937"]},{"raw_affiliation_string":"Microsoft Corp. & Microsoft Res., Cambridge, UK","institution_ids":["https://openalex.org/I4210164937"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014927177","display_name":"Shahram Izadi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Shahram Izadi","raw_affiliation_strings":["Microsoft Corporation and Microsoft Research, Cambridge, UK","Microsoft Corp. & Microsoft Res., Cambridge, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Corporation and Microsoft Research, Cambridge, UK","institution_ids":["https://openalex.org/I4210164937"]},{"raw_affiliation_string":"Microsoft Corp. & Microsoft Res., Cambridge, UK","institution_ids":["https://openalex.org/I4210164937"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020965719","display_name":"Christopher Zach","orcid":"https://orcid.org/0000-0003-2840-6187"},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Christopher Zach","raw_affiliation_strings":["Microsoft Corporation and Microsoft Research, Cambridge, UK","Microsoft Corp. & Microsoft Res., Cambridge, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Corporation and Microsoft Research, Cambridge, UK","institution_ids":["https://openalex.org/I4210164937"]},{"raw_affiliation_string":"Microsoft Corp. & Microsoft Res., Cambridge, UK","institution_ids":["https://openalex.org/I4210164937"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085253481","display_name":"Michael Bleyer","orcid":null},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Michael Bleyer","raw_affiliation_strings":["Microsoft Corporation and Microsoft Research, Cambridge, UK","Microsoft Corp. & Microsoft Res., Cambridge, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Corporation and Microsoft Research, Cambridge, UK","institution_ids":["https://openalex.org/I4210164937"]},{"raw_affiliation_string":"Microsoft Corp. & Microsoft Res., Cambridge, UK","institution_ids":["https://openalex.org/I4210164937"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064638107","display_name":"Steven Bathiche","orcid":null},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Steven Bathiche","raw_affiliation_strings":["Microsoft Corporation and Microsoft Research, Cambridge, UK","Microsoft Corp. & Microsoft Res., Cambridge, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Corporation and Microsoft Research, Cambridge, UK","institution_ids":["https://openalex.org/I4210164937"]},{"raw_affiliation_string":"Microsoft Corp. & Microsoft Res., Cambridge, UK","institution_ids":["https://openalex.org/I4210164937"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210164937"],"apc_list":null,"apc_paid":null,"fwci":9.1464,"has_fulltext":false,"cited_by_count":125,"citation_normalized_percentile":{"value":0.98282328,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"83","last_page":"88"},"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/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/T10638","display_name":"Optical measurement and interference techniques","score":0.9987999796867371,"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/computer-science","display_name":"Computer science","score":0.8310543298721313},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7336428761482239},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6795364022254944},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5223901867866516},{"id":"https://openalex.org/keywords/stereo-camera","display_name":"Stereo camera","score":0.49026110768318176},{"id":"https://openalex.org/keywords/frame-rate","display_name":"Frame rate","score":0.47748419642448425},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4765075743198395},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4693972170352936},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3306218981742859},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.16404107213020325}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8310543298721313},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7336428761482239},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6795364022254944},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5223901867866516},{"id":"https://openalex.org/C185078393","wikidata":"https://www.wikidata.org/wiki/Q313783","display_name":"Stereo camera","level":2,"score":0.49026110768318176},{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.47748419642448425},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4765075743198395},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4693972170352936},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3306218981742859},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.16404107213020325},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ismar.2013.6671767","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ismar.2013.6671767","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6899999976158142,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1187244281","https://openalex.org/W1532362218","https://openalex.org/W1854342422","https://openalex.org/W1955069752","https://openalex.org/W1964057156","https://openalex.org/W1968799614","https://openalex.org/W1986049249","https://openalex.org/W1987648924","https://openalex.org/W1989291440","https://openalex.org/W2009422376","https://openalex.org/W2022037279","https://openalex.org/W2044233231","https://openalex.org/W2059496137","https://openalex.org/W2080629029","https://openalex.org/W2085261163","https://openalex.org/W2095263016","https://openalex.org/W2097368509","https://openalex.org/W2099940712","https://openalex.org/W2101797103","https://openalex.org/W2104974755","https://openalex.org/W2107017043","https://openalex.org/W2108134361","https://openalex.org/W2108414866","https://openalex.org/W2118853694","https://openalex.org/W2130502925","https://openalex.org/W2132541137","https://openalex.org/W2133844819","https://openalex.org/W2142610995","https://openalex.org/W2142876261","https://openalex.org/W2151103935","https://openalex.org/W2151290401","https://openalex.org/W2160014001","https://openalex.org/W2165114467","https://openalex.org/W2167335287","https://openalex.org/W2169657771","https://openalex.org/W2171056981","https://openalex.org/W6627862999","https://openalex.org/W6631707545","https://openalex.org/W6639012427","https://openalex.org/W6640817630","https://openalex.org/W6674764965","https://openalex.org/W6676441359"],"related_works":["https://openalex.org/W2084086966","https://openalex.org/W2023861399","https://openalex.org/W2730915376","https://openalex.org/W2626306547","https://openalex.org/W2021396365","https://openalex.org/W2394134009","https://openalex.org/W2119515433","https://openalex.org/W2009561238","https://openalex.org/W2977517636","https://openalex.org/W2810129309"],"abstract_inverted_index":{"MonoFusion":[0],"allows":[1],"a":[2,16,33,37,79,98,112,117,175],"user":[3],"to":[4,131,153,190],"build":[5],"dense":[6,90,105],"3D":[7,146],"reconstructions":[8,186],"of":[9,68,178],"their":[10],"environment":[11],"in":[12,32,60],"real-time,":[13],"utilizing":[14],"only":[15],"single,":[17],"off-the-shelf":[18],"web":[19],"camera":[20,26,70,76],"as":[21,136,138,196],"the":[22,48,65,69,74,94,145,166],"input":[23,42,66,95],"sensor.":[24],"The":[25,103,127],"could":[27],"be":[28],"one":[29],"already":[30],"available":[31],"tablet,":[34],"phone,":[35],"or":[36],"standalone":[38],"device.":[39],"No":[40],"additional":[41],"hardware":[43],"is":[44,129,150],"required.":[45],"This":[46,163],"removes":[47],"need":[49],"for":[50,88],"power":[51],"intensive":[52],"active":[53,191],"sensors":[54],"that":[55,169],"do":[56],"not":[57],"work":[58],"robustly":[59],"natural":[61],"outdoor":[62],"lighting.":[63],"Using":[64],"stream":[67],"we":[71],"first":[72],"estimate":[73],"6DoF":[75],"pose":[77],"using":[78],"sparse":[80],"tracking":[81,134],"method.":[82],"These":[83],"poses":[84],"are":[85,108,123],"then":[86],"used":[87],"efficient":[89],"stereo":[91],"matching":[92],"between":[93],"frame":[96,100],"and":[97,121,155,174],"key":[99],"(extracted":[101],"previously).":[102],"resulting":[104],"depth":[106,192],"maps":[107],"directly":[109],"fused":[110],"into":[111],"voxel-based":[113],"implicit":[114],"model":[115],"(using":[116],"computationally":[118],"inexpensive":[119],"method)":[120],"surfaces":[122],"extracted":[124],"per":[125],"frame.":[126],"system":[128,173],"able":[130],"recover":[132],"from":[133,144],"failures":[135],"well":[137],"filter":[139],"out":[140],"geometrically":[141],"inconsistent":[142],"noise":[143],"reconstruction.":[147],"Our":[148],"method":[149],"both":[151],"simple":[152],"implement":[154],"efficient,":[156],"making":[157],"such":[158,195],"systems":[159,194],"even":[160,187],"more":[161],"accessible.":[162],"paper":[164],"details":[165],"algorithmic":[167],"components":[168],"make":[170],"up":[171],"our":[172,179],"GPU":[176],"implementation":[177],"approach.":[180],"Qualitative":[181],"results":[182],"demonstrate":[183],"high":[184],"quality":[185],"visually":[188],"comparable":[189],"sensor-based":[193],"KinectFusion.":[197]},"counts_by_year":[{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":14},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":20},{"year":2017,"cited_by_count":17},{"year":2016,"cited_by_count":27},{"year":2015,"cited_by_count":9},{"year":2014,"cited_by_count":8}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
