{"id":"https://openalex.org/W2107732308","doi":"https://doi.org/10.1109/cvpr.2008.4587458","title":"Building segmentation for densely built urban regions using aerial LIDAR data","display_name":"Building segmentation for densely built urban regions using aerial LIDAR data","publication_year":2008,"publication_date":"2008-06-01","ids":{"openalex":"https://openalex.org/W2107732308","doi":"https://doi.org/10.1109/cvpr.2008.4587458","mag":"2107732308"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2008.4587458","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2008.4587458","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE 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/A5109142687","display_name":"Bogdan C. Matei","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bogdan C. Matei","raw_affiliation_strings":["Sarnoff Corporation, Princeton, NJ, USA","[Sarnoff Corporation, Princeton, NJ]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sarnoff Corporation, Princeton, NJ, USA","institution_ids":[]},{"raw_affiliation_string":"[Sarnoff Corporation, Princeton, NJ]","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091076182","display_name":"Harpreet Sawhney","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Harpreet S. Sawhney","raw_affiliation_strings":["Sarnoff Corporation, Princeton, NJ, USA","[Sarnoff Corporation, Princeton, NJ]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sarnoff Corporation, Princeton, NJ, USA","institution_ids":[]},{"raw_affiliation_string":"[Sarnoff Corporation, Princeton, NJ]","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040144027","display_name":"Supun Samarasekera","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Supun Samarasekera","raw_affiliation_strings":["Sarnoff Corporation, Princeton, NJ, USA","[Sarnoff Corporation, Princeton, NJ]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sarnoff Corporation, Princeton, NJ, USA","institution_ids":[]},{"raw_affiliation_string":"[Sarnoff Corporation, Princeton, NJ]","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004066727","display_name":"Janet Kim","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Janet Kim","raw_affiliation_strings":["Sarnoff Corporation, Princeton, NJ, USA","[Sarnoff Corporation, Princeton, NJ]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sarnoff Corporation, Princeton, NJ, USA","institution_ids":[]},{"raw_affiliation_string":"[Sarnoff Corporation, Princeton, NJ]","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101946847","display_name":"Rakesh Kumar","orcid":"https://orcid.org/0000-0003-2406-7157"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rakesh Kumar","raw_affiliation_strings":["Sarnoff Corporation, Princeton, NJ, USA","[Sarnoff Corporation, Princeton, NJ]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sarnoff Corporation, Princeton, NJ, USA","institution_ids":[]},{"raw_affiliation_string":"[Sarnoff Corporation, Princeton, NJ]","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":8.101,"has_fulltext":false,"cited_by_count":70,"citation_normalized_percentile":{"value":0.97563525,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":1.0,"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"}},{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9979000091552734,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"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/lidar","display_name":"Lidar","score":0.8159090280532837},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7193504571914673},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.634708046913147},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5489271283149719},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.542268693447113},{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.5065873861312866},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5033757090568542},{"id":"https://openalex.org/keywords/ranging","display_name":"Ranging","score":0.5028192400932312},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.48206549882888794},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.41040918231010437},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.290508896112442},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.15484577417373657}],"concepts":[{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.8159090280532837},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7193504571914673},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.634708046913147},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5489271283149719},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.542268693447113},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.5065873861312866},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5033757090568542},{"id":"https://openalex.org/C115051666","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Ranging","level":2,"score":0.5028192400932312},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.48206549882888794},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.41040918231010437},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.290508896112442},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.15484577417373657},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cvpr.2008.4587458","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2008.4587458","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.409.2720","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.409.2720","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://mplab.ucsd.edu/wp-content/uploads/cvpr2008/conference/data/papers/118.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8399999737739563,"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":35,"referenced_works":["https://openalex.org/W1480376833","https://openalex.org/W1481254661","https://openalex.org/W1490616530","https://openalex.org/W1505251357","https://openalex.org/W1516928959","https://openalex.org/W1527061076","https://openalex.org/W1554944419","https://openalex.org/W1601795611","https://openalex.org/W1663973292","https://openalex.org/W2009214675","https://openalex.org/W2018839022","https://openalex.org/W2027794006","https://openalex.org/W2046434485","https://openalex.org/W2111137905","https://openalex.org/W2116789748","https://openalex.org/W2121535648","https://openalex.org/W2128282196","https://openalex.org/W2144311066","https://openalex.org/W2147245178","https://openalex.org/W2151646056","https://openalex.org/W2165018911","https://openalex.org/W2165949176","https://openalex.org/W2171033594","https://openalex.org/W2180905035","https://openalex.org/W2221940921","https://openalex.org/W2247390773","https://openalex.org/W2603032606","https://openalex.org/W2603733831","https://openalex.org/W2651598648","https://openalex.org/W3020867216","https://openalex.org/W4285719527","https://openalex.org/W6628729515","https://openalex.org/W6629265730","https://openalex.org/W6631672090","https://openalex.org/W6682450420"],"related_works":["https://openalex.org/W4384112194","https://openalex.org/W2783354812","https://openalex.org/W2103009189","https://openalex.org/W4312958259","https://openalex.org/W4390813131","https://openalex.org/W2349383066","https://openalex.org/W2594043982","https://openalex.org/W3036493597","https://openalex.org/W4293094720","https://openalex.org/W2739701376"],"abstract_inverted_index":{"We":[0,18,217],"present":[1],"a":[2,73,94,129,154,185,189,199,252],"novel":[3],"building":[4,155,204,222],"segmentation":[5,71,131,156,223,239],"system":[6,224],"for":[7,65,180],"densely":[8],"built":[9],"areas,":[10,142],"containing":[11],"thousands":[12],"of":[13,44,60,68,110,150,184,188,196,231,233,241,272],"buildings":[14,53,61,162],"per":[15,39,246],"square":[16,40,234],"kilometer.":[17],"employ":[19],"solely":[20],"sparse":[21,169],"LIDAR":[22,87],"(Light/Laser":[23],"Detection":[24],"Ranging)":[25],"3D":[26,81,104,263],"data,":[27,152],"captured":[28],"from":[29],"an":[30,178],"aerial":[31],"platform,":[32],"with":[33,209,229],"resolution":[34],"less":[35,149,242],"than":[36,243],"one":[37],"point":[38],"meter.":[41],"The":[42],"goal":[43],"our":[45,273],"work":[46],"is":[47,72,146,159],"to":[48,98,161,166,202,225],"create":[49],"segmented":[50,264],"and":[51,85,116,139,171,176],"delineated":[52],"as":[54,56,80,93],"well":[55],"structures":[57],"on":[58,192,251],"top":[59],"without":[62,107],"requiring":[63],"scanning":[64],"the":[66,108,144,151,182,194,203,214,220,262],"sides":[67],"buildings.":[69],"Building":[70],"critical":[74],"component":[75],"in":[76,90,112,124,163,198,213],"many":[77],"applications":[78],"such":[79],"visualization,":[82],"robot":[83],"navigation":[84],"cartography.":[86],"has":[88],"emerged":[89],"recent":[91],"years":[92],"more":[95],"robust":[96,160],"alternative":[97],"2D":[99,267],"imagery":[100,268],"because":[101],"it":[102],"acquires":[103],"structure":[105],"directly,":[106],"shortcomings":[109],"stereo":[111],"un-":[113],"textured":[114],"regions":[115,228,265],"at":[117],"depth":[118],"discontinuities.":[119],"Our":[120],"main":[121],"technical":[122],"contributions":[123],"this":[125],"paper":[126],"are:":[127],"(i)":[128],"ground":[130,145],"algorithm":[132,179],"which":[133,158,206],"can":[134,207],"handle":[135],"both":[136],"rural":[137],"regions,":[138],"heavily":[140],"urbanized":[141],"where":[143],"20%":[147],"or":[148],"(ii)":[153],"technique,":[157],"close":[164],"proximity":[165],"each":[167],"other,":[168],"measurements":[170],"nearby":[172],"structured":[173],"vegetation":[174],"clutter,":[175],"(Hi)":[177],"estimating":[181],"orientation":[183],"boundary":[186],"contour":[187],"building,":[190],"based":[191],"minimizing":[193],"number":[195],"vertices":[197],"rectilinear":[200],"approximation":[201],"outline,":[205],"cope":[208],"significant":[210],"quantization":[211],"noise":[212],"outline":[215],"measurements.":[216],"have":[218],"applied":[219],"proposed":[221],"several":[226],"urban":[227],"areas":[230],"hundreds":[232],"kilometers":[235],"each,":[236],"obtaining":[237],"average":[238],"speeds":[240],"three":[244],"minutes":[245],"km":[247],"<sup":[248],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[249],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>":[250],"standard":[253],"Pentium":[254],"processor.":[255],"Extensive":[256],"qualitative":[257],"results":[258],"obtained":[259],"by":[260],"overlaying":[261],"onto":[266],"indicate":[269],"accurate":[270],"performance":[271],"system.":[274]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":7}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
