{"id":"https://openalex.org/W349087979","doi":null,"title":"Reconstructing the World* in Six Days *(As Captured by the Yahoo 100 Million Image Dataset)","display_name":"Reconstructing the World* in Six Days *(As Captured by the Yahoo 100 Million Image Dataset)","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W349087979","mag":"349087979"},"language":"en","primary_location":{"id":"mag:349087979","doi":null,"is_oa":false,"landing_page_url":"https://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Heinly_Reconstructing_the_World_2015_CVPR_paper.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4210176548","display_name":"IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings","issn_l":"1063-6919","issn":["1063-6919","2332-564X","2575-7075"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","norway-1"],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Computer Vision and Pattern Recognition","raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5070904641","display_name":"Jared Heinly","orcid":null,"observed_orcids":[]},"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":"Jared Heinly","raw_affiliation_strings":["University of North Carolina at Chapel Hill"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of North Carolina at Chapel Hill","institution_ids":["https://openalex.org/I114027177"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071944294","display_name":"Johannes L. Sch\u00f6nberger","orcid":null,"observed_orcids":[]},"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":"Johannes L. Sch\u00f6nberger","raw_affiliation_strings":["University of North Carolina at Chapel Hill"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of North Carolina at Chapel Hill","institution_ids":["https://openalex.org/I114027177"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056731010","display_name":"Enrique Dunn","orcid":"https://orcid.org/0000-0002-5436-0023","observed_orcids":["https://orcid.org/0000-0002-5436-0023"]},"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":"Enrique Dunn","raw_affiliation_strings":["University of North Carolina at Chapel Hill"],"raw_orcid":"https://orcid.org/0000-0002-5436-0023","affiliations":[{"raw_affiliation_string":"University of North Carolina at Chapel Hill","institution_ids":["https://openalex.org/I114027177"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018151384","display_name":"Jan\u2010Michael Frahm","orcid":null,"observed_orcids":[]},"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":"Jan\u2010Michael Frahm","raw_affiliation_strings":["University of North Carolina at Chapel Hill"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of North Carolina at Chapel Hill","institution_ids":["https://openalex.org/I114027177"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I114027177"],"apc_list":null,"apc_paid":null,"fwci":14.8968,"has_fulltext":false,"cited_by_count":144,"citation_normalized_percentile":{"value":0.99274355,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"3287","last_page":"3295"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.8769999742507935,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.8769999742507935,"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":0.054099999368190765,"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"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.014399999752640724,"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/structure-from-motion","display_name":"structure from motion","score":0.7839999794960022},{"id":"https://openalex.org/keywords/image-clustering","display_name":"image clustering","score":0.6930000185966492},{"id":"https://openalex.org/keywords/bag-of-words","display_name":"bag-of-words","score":0.800000011920929},{"id":"https://openalex.org/keywords/image-registration","display_name":"image registration","score":0.597000002861023},{"id":"https://openalex.org/keywords/scalability","display_name":"scalability","score":0.5690000057220459}],"concepts":[{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7978662848472595},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7921304702758789},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5140255689620972},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4626838266849518},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.44951534271240234},{"id":"https://openalex.org/C46355384","wikidata":"https://www.wikidata.org/wiki/Q726686","display_name":"Compromise","level":2,"score":0.4202861189842224},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4160485565662384},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4127190113067627},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3772979974746704},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.1685236692428589},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10107278823852539},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.09225437045097351},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:349087979","doi":null,"is_oa":false,"landing_page_url":"https://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Heinly_Reconstructing_the_World_2015_CVPR_paper.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4210176548","display_name":"IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings","issn_l":"1063-6919","issn":["1063-6919","2332-564X","2575-7075"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","norway-1"],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Computer Vision and Pattern Recognition","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W29546508","https://openalex.org/W148241443","https://openalex.org/W432572086","https://openalex.org/W1541642243","https://openalex.org/W1544092585","https://openalex.org/W1556531089","https://openalex.org/W1597120896","https://openalex.org/W1908016767","https://openalex.org/W1953588267","https://openalex.org/W1976591483","https://openalex.org/W1979931042","https://openalex.org/W1993336109","https://openalex.org/W2023991840","https://openalex.org/W2044238621","https://openalex.org/W2099443716","https://openalex.org/W2100398441","https://openalex.org/W2105303354","https://openalex.org/W2128017662","https://openalex.org/W2129201358","https://openalex.org/W2132820324","https://openalex.org/W2145645587","https://openalex.org/W2150495450","https://openalex.org/W2151625907","https://openalex.org/W2156598602","https://openalex.org/W2163446794","https://openalex.org/W2168104347","https://openalex.org/W2294163059","https://openalex.org/W2536680313"],"related_works":["https://openalex.org/W1909224301","https://openalex.org/W2519335127","https://openalex.org/W2010429811","https://openalex.org/W1908016767","https://openalex.org/W2099443716","https://openalex.org/W6986886072","https://openalex.org/W2592923655","https://openalex.org/W2561391210","https://openalex.org/W7098129019","https://openalex.org/W2071491666"],"abstract_inverted_index":{"We":[0,81],"propose":[1],"a":[2,34,45,88],"novel,":[3],"large-scale,":[4],"structure-from-motion":[5],"framework":[6,47],"that":[7,108],"advances":[8],"the":[9,12,42,73,103],"state":[10],"of":[11,21,28,30,44,75,121],"art":[13],"in":[14,69],"data":[15,79],"scalability":[16],"from":[17],"city-scale":[18],"modeling":[19,25],"(millions":[20],"images)":[22,31],"to":[23,71],"world-scale":[24],"(several":[26],"tens":[27],"millions":[29],"using":[32],"just":[33],"single":[35],"computer.":[36],"The":[37],"main":[38],"enabling":[39],"technology":[40],"is":[41],"use":[43],"streaming-based":[46,110],"for":[48],"connected":[49],"component":[50],"discovery.":[51],"Moreover,":[52],"our":[53,83,109],"system":[54],"employs":[55],"an":[56,65],"adaptive,":[57],"online,":[58],"iconic":[59],"image":[60,94],"clustering":[61],"approach":[62,111],"based":[63],"on":[64,87],"augmented":[66],"bag-of-words":[67],"representation,":[68],"order":[70],"balance":[72],"goals":[74],"registration,":[76],"comprehensiveness,":[77],"and":[78,123],"compactness.":[80],"demonstrate":[82],"proposal":[84],"by":[85],"operating":[86],"recent":[89],"publicly":[90],"available":[91],"100":[92],"million":[93],"crowdsourced":[95],"photo":[96],"collection":[97],"containing":[98],"images":[99],"geographically":[100],"distributed":[101],"throughout":[102],"entire":[104],"world.":[105],"Results":[106],"illustrate":[107],"does":[112],"not":[113],"compromise":[114],"model":[115],"completeness,":[116],"but":[117],"achieves":[118],"unprecedented":[119],"levels":[120],"efficiency":[122],"scalability.":[124]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":20},{"year":2020,"cited_by_count":22},{"year":2019,"cited_by_count":25},{"year":2018,"cited_by_count":15},{"year":2017,"cited_by_count":28},{"year":2016,"cited_by_count":13},{"year":2015,"cited_by_count":6}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}
