{"id":"https://openalex.org/W2156598602","doi":"https://doi.org/10.1145/1141911.1141964","title":"Photo tourism","display_name":"Photo tourism","publication_year":2006,"publication_date":"2006-07-01","ids":{"openalex":"https://openalex.org/W2156598602","doi":"https://doi.org/10.1145/1141911.1141964","mag":"2156598602"},"language":"en","primary_location":{"id":"doi:10.1145/1141911.1141964","is_oa":true,"landing_page_url":"https://doi.org/10.1145/1141911.1141964","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/1141911.1141964","source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://dl.acm.org/doi/pdf/10.1145/1141911.1141964","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5085248097","display_name":"Noah Snavely","orcid":"https://orcid.org/0000-0002-6921-6833"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Noah Snavely","raw_affiliation_strings":["University of Washington"],"affiliations":[{"raw_affiliation_string":"University of Washington","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068254275","display_name":"Steven M. Seitz","orcid":"https://orcid.org/0009-0000-4214-4078"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Steven M. Seitz","raw_affiliation_strings":["University of Washington"],"affiliations":[{"raw_affiliation_string":"University of Washington","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077002817","display_name":"Richard Szeliski","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":"Richard Szeliski","raw_affiliation_strings":["Microsoft Research"],"affiliations":[{"raw_affiliation_string":"Microsoft Research","institution_ids":["https://openalex.org/I4210164937"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5085248097"],"corresponding_institution_ids":["https://openalex.org/I201448701"],"apc_list":null,"apc_paid":null,"fwci":90.7413,"has_fulltext":true,"cited_by_count":2810,"citation_normalized_percentile":{"value":0.9998349,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"25","issue":"3","first_page":"835","last_page":"846"},"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":0.9998999834060669,"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":0.9998999834060669,"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/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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9980999827384949,"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":0.8123915195465088},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.6976815462112427},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.6329329013824463},{"id":"https://openalex.org/keywords/image-based-modeling-and-rendering","display_name":"Image-based modeling and rendering","score":0.5756327509880066},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5669771432876587},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47386956214904785},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4344240427017212}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8123915195465088},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.6976815462112427},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.6329329013824463},{"id":"https://openalex.org/C44185422","wikidata":"https://www.wikidata.org/wiki/Q6002064","display_name":"Image-based modeling and rendering","level":3,"score":0.5756327509880066},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5669771432876587},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47386956214904785},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4344240427017212}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1141911.1141964","is_oa":true,"landing_page_url":"https://doi.org/10.1145/1141911.1141964","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/1141911.1141964","source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/1141911.1141964","is_oa":true,"landing_page_url":"https://doi.org/10.1145/1141911.1141964","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/1141911.1141964","source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5600000023841858,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[{"id":"https://openalex.org/G1049359992","display_name":"Data-Driven Modeling of Shape, Reflection, and Interreflection","funder_award_id":"0413198","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6256111561","display_name":"Graduate Research Fellowship Program","funder_award_id":"0203031","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","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/F4320310094","display_name":"University of Washington","ror":"https://ror.org/00cvxb145"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2156598602.pdf","grobid_xml":"https://content.openalex.org/works/W2156598602.grobid-xml"},"referenced_works_count":46,"referenced_works":["https://openalex.org/W988466463","https://openalex.org/W1522012835","https://openalex.org/W1523108824","https://openalex.org/W1541642243","https://openalex.org/W1736328426","https://openalex.org/W1878632982","https://openalex.org/W1967787132","https://openalex.org/W1971719398","https://openalex.org/W1974260711","https://openalex.org/W1980911747","https://openalex.org/W2001846247","https://openalex.org/W2026101879","https://openalex.org/W2033819227","https://openalex.org/W2043962727","https://openalex.org/W2049398110","https://openalex.org/W2063366997","https://openalex.org/W2080629029","https://openalex.org/W2085261163","https://openalex.org/W2085675022","https://openalex.org/W2096636421","https://openalex.org/W2098362450","https://openalex.org/W2106364358","https://openalex.org/W2110764733","https://openalex.org/W2111003594","https://openalex.org/W2111169574","https://openalex.org/W2119781527","https://openalex.org/W2121029369","https://openalex.org/W2131846894","https://openalex.org/W2136309006","https://openalex.org/W2141282920","https://openalex.org/W2151103935","https://openalex.org/W2155305127","https://openalex.org/W2159536175","https://openalex.org/W2165949425","https://openalex.org/W2168102414","https://openalex.org/W2169576231","https://openalex.org/W2238402354","https://openalex.org/W2294015878","https://openalex.org/W2294985758","https://openalex.org/W2427881153","https://openalex.org/W2546299398","https://openalex.org/W2607928667","https://openalex.org/W3029645440","https://openalex.org/W4243493583","https://openalex.org/W4249522571","https://openalex.org/W4293775970"],"related_works":["https://openalex.org/W291250033","https://openalex.org/W2008385118","https://openalex.org/W4237178794","https://openalex.org/W2035757446","https://openalex.org/W880955280","https://openalex.org/W2106647072","https://openalex.org/W4246858109","https://openalex.org/W2028281716","https://openalex.org/W2170209930","https://openalex.org/W2046782623"],"abstract_inverted_index":{"We":[0,118],"present":[1],"a":[2,15,18,42],"system":[3,23,91,121],"for":[4],"interactively":[5],"browsing":[6],"and":[7,49,72,79,105],"exploring":[8],"large":[9,124],"unstructured":[10],"collections":[11,127],"of":[12,14,25,36,46,74,77,100],"photographs":[13],"scene":[16,48],"using":[17],"novel":[19],"3D":[20,44,70],"interface.":[21],"Our":[22,54,90],"consists":[24],"an":[26],"image-based":[27,58],"modeling":[28],"front":[29],"end":[30],"that":[31],"automatically":[32,112],"computes":[33],"the":[34,47,75],"viewpoint":[35],"each":[37],"photograph":[38],"as":[39,41,87,128,130],"well":[40,129],"sparse":[43],"model":[45,52],"image":[50,108],"to":[51,61,96,106,114],"correspondences.":[53],"photo":[55,98,126,135],"explorer":[56],"uses":[57],"rendering":[59],"techniques":[60],"smoothly":[62],"transition":[63],"between":[64],"photographs,":[65],"while":[66],"also":[67,92],"enabling":[68],"full":[69],"navigation":[71],"exploration":[73],"set":[76],"images":[78,131],"world":[80],"geometry,":[81],"along":[82],"with":[83],"auxiliary":[84],"information":[85],"such":[86],"overhead":[88],"maps.":[89],"makes":[93],"it":[94],"easy":[95],"construct":[97],"tours":[99],"scenic":[101],"or":[102],"historic":[103],"locations,":[104],"annotate":[107],"details,":[109],"which":[110],"are":[111],"transferred":[113],"other":[115],"relevant":[116],"images.":[117],"demonstrate":[119],"our":[120],"on":[122],"several":[123],"personal":[125],"gathered":[132],"from":[133],"Internet":[134],"sharing":[136],"sites.":[137]},"counts_by_year":[{"year":2026,"cited_by_count":16},{"year":2025,"cited_by_count":79},{"year":2024,"cited_by_count":100},{"year":2023,"cited_by_count":72},{"year":2022,"cited_by_count":65},{"year":2021,"cited_by_count":115},{"year":2020,"cited_by_count":150},{"year":2019,"cited_by_count":149},{"year":2018,"cited_by_count":166},{"year":2017,"cited_by_count":188},{"year":2016,"cited_by_count":207},{"year":2015,"cited_by_count":250},{"year":2014,"cited_by_count":212},{"year":2013,"cited_by_count":220},{"year":2012,"cited_by_count":201}],"updated_date":"2026-04-06T07:47:59.780226","created_date":"2016-06-24T00:00:00"}