{"id":"https://openalex.org/W2891786944","doi":"https://doi.org/10.1109/tpami.2018.2869744","title":"Segmentation of Laser Point Clouds in Urban Areas by a Modified Normalized Cut Method","display_name":"Segmentation of Laser Point Clouds in Urban Areas by a Modified Normalized Cut Method","publication_year":2018,"publication_date":"2018-09-12","ids":{"openalex":"https://openalex.org/W2891786944","doi":"https://doi.org/10.1109/tpami.2018.2869744","mag":"2891786944","pmid":"https://pubmed.ncbi.nlm.nih.gov/30222551"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2018.2869744","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2018.2869744","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5102917450","display_name":"Avishek Dutta","orcid":"https://orcid.org/0000-0003-1225-270X"},"institutions":[{"id":"https://openalex.org/I31582689","display_name":"Stuttgart Technical University of Applied Sciences","ror":"https://ror.org/039gdg280","country_code":"DE","type":"education","lineage":["https://openalex.org/I31582689"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Avishek Dutta","raw_affiliation_strings":["University of Applied Sciences, Stuttgart, Germany"],"raw_orcid":"https://orcid.org/0000-0003-1225-270X","affiliations":[{"raw_affiliation_string":"University of Applied Sciences, Stuttgart, Germany","institution_ids":["https://openalex.org/I31582689"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082511876","display_name":"Johannes Engels","orcid":null},"institutions":[{"id":"https://openalex.org/I31582689","display_name":"Stuttgart Technical University of Applied Sciences","ror":"https://ror.org/039gdg280","country_code":"DE","type":"education","lineage":["https://openalex.org/I31582689"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Johannes Engels","raw_affiliation_strings":["University of Applied Sciences, Stuttgart, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Applied Sciences, Stuttgart, Germany","institution_ids":["https://openalex.org/I31582689"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076673164","display_name":"Michael Hahn","orcid":"https://orcid.org/0000-0002-7809-1796"},"institutions":[{"id":"https://openalex.org/I31582689","display_name":"Stuttgart Technical University of Applied Sciences","ror":"https://ror.org/039gdg280","country_code":"DE","type":"education","lineage":["https://openalex.org/I31582689"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Michael Hahn","raw_affiliation_strings":["University of Applied Sciences, Stuttgart, Germany"],"raw_orcid":"https://orcid.org/0000-0002-7809-1796","affiliations":[{"raw_affiliation_string":"University of Applied Sciences, Stuttgart, Germany","institution_ids":["https://openalex.org/I31582689"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4031,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.62749315,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"41","issue":"12","first_page":"3034","last_page":"3047"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9991000294685364,"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":0.9991000294685364,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9966999888420105,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.993399977684021,"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/weighting","display_name":"Weighting","score":0.6215783357620239},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6077245473861694},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.5896041989326477},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.5811371207237244},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5486418604850769},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5310761332511902},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.526310920715332},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5155551433563232},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5054824352264404},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4873228967189789},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.459258496761322},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45451778173446655},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4499668478965759},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4326937198638916},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3332965672016144},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.31281471252441406},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.16990000009536743}],"concepts":[{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.6215783357620239},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6077245473861694},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.5896041989326477},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.5811371207237244},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5486418604850769},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5310761332511902},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.526310920715332},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5155551433563232},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5054824352264404},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4873228967189789},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.459258496761322},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45451778173446655},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4499668478965759},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4326937198638916},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3332965672016144},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.31281471252441406},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.16990000009536743},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2018.2869744","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2018.2869744","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:30222551","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30222551","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8399999737739563,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W26881216","https://openalex.org/W1565212980","https://openalex.org/W1688704361","https://openalex.org/W1996931690","https://openalex.org/W2002531683","https://openalex.org/W2033403400","https://openalex.org/W2034566398","https://openalex.org/W2041642242","https://openalex.org/W2050204708","https://openalex.org/W2060488365","https://openalex.org/W2064723966","https://openalex.org/W2086921140","https://openalex.org/W2101309634","https://openalex.org/W2104095591","https://openalex.org/W2105365768","https://openalex.org/W2110670281","https://openalex.org/W2114487471","https://openalex.org/W2121578625","https://openalex.org/W2121694680","https://openalex.org/W2121927366","https://openalex.org/W2121947440","https://openalex.org/W2132603077","https://openalex.org/W2147536583","https://openalex.org/W2154501376","https://openalex.org/W2164383578","https://openalex.org/W2519427229","https://openalex.org/W2786825581","https://openalex.org/W2963706542","https://openalex.org/W3211330693","https://openalex.org/W4213060883","https://openalex.org/W4244030505","https://openalex.org/W4302070335","https://openalex.org/W4312258136","https://openalex.org/W6683749178","https://openalex.org/W6888928056"],"related_works":["https://openalex.org/W3015465855","https://openalex.org/W2917062864","https://openalex.org/W3176926369","https://openalex.org/W2042327336","https://openalex.org/W2959771705","https://openalex.org/W2543161807","https://openalex.org/W3161321444","https://openalex.org/W2549765251","https://openalex.org/W2138214894","https://openalex.org/W2321141263"],"abstract_inverted_index":{"Normalized":[0,39,101,121],"Cut":[1,40,179],"is":[2,27,52,91,111,138],"a":[3,53,86,141],"well-established":[4],"divisive":[5],"image":[6],"segmentation":[7,17],"method,":[8],"which":[9,51,90,137],"we":[10],"adapt":[11],"in":[12,22,153],"this":[13],"paper":[14],"for":[15,55,99,129,172],"the":[16,61,65,73,96,100,104,107,120,130,134,157,173,177,188],"of":[18,119,133,176,190],"laser":[19],"point":[20,124],"clouds":[21],"urban":[23],"areas.":[24],"Our":[25],"focus":[26],"on":[28,103,140],"polyhedral":[29],"objects":[30],"with":[31,43,68,150,187],"planar":[32],"surfaces.":[33],"Due":[34],"to":[35,85,113,155,161,165],"its":[36,183],"target":[37,62,82,109],"function,":[38,63],"favours":[41],"cuts":[42],"\"short":[44],"cut":[45,49],"lines\"":[46],"or":[47],"\"small":[48],"surfaces\",":[50],"drawback":[54],"our":[56],"application.":[57],"We":[58,71,123,169],"therefore":[59],"modify":[60],"weighting":[64],"similarity":[66],"measures":[67],"distance-dependent":[69],"weights.":[70],"call":[72],"induced":[74],"minimization":[75],"problem":[76,98,136],"\"Distance-weighted":[77],"Cut\"":[78],"(DWCut).":[79],"The":[80],"new":[81,108],"function":[83,110],"leads":[84],"generalized":[87],"eigenvalue":[88,135],"problem,":[89],"slightly":[92],"more":[93],"complicated":[94],"than":[95],"corresponding":[97,191],"Cut;":[102],"other":[105],"hand,":[106],"easier":[112],"interpret":[114],"and":[115,160,181],"avoids":[116],"some":[117],"drawbacks":[118],"Cut.":[122],"out":[125],"an":[126,151],"efficient":[127],"method":[128],"numerical":[131],"solution":[132],"based":[139],"Krylov":[142],"subspace":[143],"method.":[144],"DWCut":[145],"can":[146],"be":[147],"beneficially":[148],"combined":[149],"aggregation":[152],"order":[154],"reduce":[156],"computational":[158],"effort":[159],"avoid":[162],"shortcomings":[163],"due":[164],"insufficient":[166],"plane":[167],"parameters.":[168],"present":[170],"examples":[171],"successful":[174],"application":[175],"Distance-weighted":[178],"principle":[180],"evaluate":[182],"results":[184,189],"by":[185],"comparison":[186],"manual":[192],"segmentations.":[193]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}