{"id":"https://openalex.org/W2155256157","doi":"https://doi.org/10.1109/cvpr.2010.5539804","title":"Piecewise planar and non-planar stereo for urban scene reconstruction","display_name":"Piecewise planar and non-planar stereo for urban scene reconstruction","publication_year":2010,"publication_date":"2010-06-01","ids":{"openalex":"https://openalex.org/W2155256157","doi":"https://doi.org/10.1109/cvpr.2010.5539804","mag":"2155256157"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2010.5539804","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2010.5539804","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition","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/A5006280095","display_name":"David Gallup","orcid":null},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"David Gallup","raw_affiliation_strings":["Department of Computer Science, North Carolina State University, Chapel Hill, NC, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, North Carolina State University, Chapel Hill, NC, USA","institution_ids":["https://openalex.org/I137902535"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018151384","display_name":"Jan\u2010Michael Frahm","orcid":null},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jan-Michael Frahm","raw_affiliation_strings":["Department of Computer Science, North Carolina State University, Chapel Hill, NC, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, North Carolina State University, Chapel Hill, NC, USA","institution_ids":["https://openalex.org/I137902535"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021908609","display_name":"Marc Pollefeys","orcid":"https://orcid.org/0000-0003-2448-2318"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Marc Pollefeys","raw_affiliation_strings":["Department of Computer Science, ETH Z\u00fcrich, Zurich, Switzerland"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, ETH Z\u00fcrich, Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5006280095"],"corresponding_institution_ids":["https://openalex.org/I137902535"],"apc_list":null,"apc_paid":null,"fwci":23.5972,"has_fulltext":false,"cited_by_count":238,"citation_normalized_percentile":{"value":0.99676806,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1418","last_page":"1425"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","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/T10531","display_name":"Advanced Vision and Imaging","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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9993000030517578,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/planar","display_name":"Planar","score":0.8719674348831177},{"id":"https://openalex.org/keywords/piecewise","display_name":"Piecewise","score":0.7951914668083191},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6861187219619751},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.656310498714447},{"id":"https://openalex.org/keywords/planarity-testing","display_name":"Planarity testing","score":0.6398212909698486},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6371083855628967},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.5776636004447937},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5038654208183289},{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.4661404490470886},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.30063551664352417},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21726146340370178},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.107453852891922}],"concepts":[{"id":"https://openalex.org/C134786449","wikidata":"https://www.wikidata.org/wiki/Q3391255","display_name":"Planar","level":2,"score":0.8719674348831177},{"id":"https://openalex.org/C164660894","wikidata":"https://www.wikidata.org/wiki/Q2037833","display_name":"Piecewise","level":2,"score":0.7951914668083191},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6861187219619751},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.656310498714447},{"id":"https://openalex.org/C68260962","wikidata":"https://www.wikidata.org/wiki/Q7200967","display_name":"Planarity testing","level":2,"score":0.6398212909698486},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6371083855628967},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.5776636004447937},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5038654208183289},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.4661404490470886},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.30063551664352417},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21726146340370178},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.107453852891922},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/cvpr.2010.5539804","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2010.5539804","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.300.4933","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.300.4933","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.unc.edu/~gallup/papers/CVPR2010.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.612.5839","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.612.5839","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.inf.ethz.ch/personal/pomarc/pubs/GallupCVPR10.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8500000238418579,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1578987835","https://openalex.org/W1999478155","https://openalex.org/W2046434485","https://openalex.org/W2059496137","https://openalex.org/W2080629029","https://openalex.org/W2090426641","https://openalex.org/W2101309634","https://openalex.org/W2104125540","https://openalex.org/W2111137905","https://openalex.org/W2113137767","https://openalex.org/W2124189704","https://openalex.org/W2129201358","https://openalex.org/W2135887870","https://openalex.org/W2137017911","https://openalex.org/W2139905387","https://openalex.org/W2140789035","https://openalex.org/W2143516773","https://openalex.org/W2152327564","https://openalex.org/W2155871590","https://openalex.org/W2156116778","https://openalex.org/W2169363967","https://openalex.org/W2536043048","https://openalex.org/W4245700923","https://openalex.org/W4251321576","https://openalex.org/W6634723217","https://openalex.org/W6674950339","https://openalex.org/W6680866351","https://openalex.org/W6685059715"],"related_works":["https://openalex.org/W2982185603","https://openalex.org/W4288090301","https://openalex.org/W2963573247","https://openalex.org/W2164938550","https://openalex.org/W3003614666","https://openalex.org/W1816979946","https://openalex.org/W1598502370","https://openalex.org/W4297455769","https://openalex.org/W2074746726","https://openalex.org/W1510038041"],"abstract_inverted_index":{"Piecewise":[0],"planar":[1,76,88,131,178],"models":[2,34],"for":[3,9,35,52],"stereo":[4,66,109],"have":[5,163],"recently":[6],"become":[7],"popular":[8],"modeling":[10],"indoor":[11],"and":[12,28,38,56,77,132,140],"urban":[13],"outdoor":[14],"scenes.":[15,62],"The":[16,97,111],"strong":[17],"planarity":[18],"assumption":[19],"overcomes":[20],"the":[21,47,103,121],"challenges":[22],"presented":[23],"by":[24,102,115],"poorly":[25,45],"textured":[26],"surfaces,":[27],"results":[29,104],"in":[30,46,60,184],"low":[31],"complexity":[32],"3D":[33,151,182],"rendering,":[36],"storage,":[37],"transmission.":[39],"However,":[40],"such":[41],"a":[42,65,106,124,149],"model":[43],"performs":[44],"presence":[48],"of":[49,69,105,123,157,166,168],"non-planar":[50,78,98,133],"objects,":[51],"example,":[53],"bushes,":[54],"trees,":[55],"other":[57],"clutter":[58],"present":[59,64],"many":[61],"We":[63],"method":[67,138,174],"capable":[68],"handling":[70],"more":[71],"general":[72,181],"scenes":[73,186],"containing":[74,187],"both":[75],"regions.":[79,135],"Our":[80],"proposed":[81],"technique":[82],"segments":[83],"an":[84,154],"image":[85,134],"into":[86],"piecewise":[87,177],"regions":[89,93,99],"as":[90,92,95,118,120,190,192],"well":[91,119,191],"labeled":[94],"non-planar.":[96],"are":[100],"modeled":[101],"standard":[107],"multi-view":[108,116],"algorithm.":[110],"segmentation":[112],"is":[113],"driven":[114],"photoconsistency":[117],"result":[122],"color-and":[125],"texture-based":[126],"classifier,":[127],"learned":[128],"from":[129],"hand-labeled":[130],"Additionally":[136],"our":[137,160,173],"links":[139],"fuses":[141],"plane":[142],"hypotheses":[143],"across":[144],"multiple":[145],"overlapping":[146],"views,":[147],"ensuring":[148],"consistent":[150],"reconstruction":[152],"over":[153],"arbitrary":[155],"number":[156],"images.":[158],"Using":[159],"system,":[161],"we":[162],"reconstructed":[164],"thousands":[165],"frames":[167],"street-level":[169],"video.":[170],"Results":[171],"show":[172],"successfully":[175],"recovers":[176],"surfaces":[179,183],"alongside":[180],"challenging":[185],"large":[188],"buildings":[189],"residential":[193],"houses.":[194]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":14},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":13},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":21},{"year":2015,"cited_by_count":25},{"year":2014,"cited_by_count":34},{"year":2013,"cited_by_count":22},{"year":2012,"cited_by_count":24}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
