{"id":"https://openalex.org/W2319874253","doi":"https://doi.org/10.1109/mfi.2014.6997742","title":"A variable scale approach for neighbor search in point cloud data","display_name":"A variable scale approach for neighbor search in point cloud data","publication_year":2014,"publication_date":"2014-09-01","ids":{"openalex":"https://openalex.org/W2319874253","doi":"https://doi.org/10.1109/mfi.2014.6997742","mag":"2319874253"},"language":"en","primary_location":{"id":"doi:10.1109/mfi.2014.6997742","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mfi.2014.6997742","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Conference on Multisensor Fusion and Information Integration for Intelligent Systems (MFI)","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/A5086088231","display_name":"Lingwei Min","orcid":null},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lingwei Min","raw_affiliation_strings":["Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Beijing, Beijing, CN"],"affiliations":[{"raw_affiliation_string":"Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Beijing, Beijing, CN","institution_ids":["https://openalex.org/I4210145761","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101745473","display_name":"Zhangjun Song","orcid":"https://orcid.org/0000-0002-1809-6122"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]},{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhangjun Song","raw_affiliation_strings":["Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China","The Chinese University of Hong Kong, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761"]},{"raw_affiliation_string":"The Chinese University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115597092","display_name":"Xiaoping Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoping Yang","raw_affiliation_strings":["Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100326970","display_name":"Jianwei Zhang","orcid":"https://orcid.org/0000-0002-7856-5760"},"institutions":[{"id":"https://openalex.org/I159176309","display_name":"Universit\u00e4t Hamburg","ror":"https://ror.org/00g30e956","country_code":"DE","type":"education","lineage":["https://openalex.org/I159176309"]},{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]},{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN","DE"],"is_corresponding":false,"raw_author_name":"Jianwei Zhang","raw_affiliation_strings":["Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China","The Chinese University of Hong Kong, Hong Kong, China","University of Hamburg, Hamburg, Germany"],"affiliations":[{"raw_affiliation_string":"Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761"]},{"raw_affiliation_string":"The Chinese University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]},{"raw_affiliation_string":"University of Hamburg, Hamburg, Germany","institution_ids":["https://openalex.org/I159176309"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5086088231"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210145761"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20028223,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"18","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9955999851226807,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.995199978351593,"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/nearest-neighbor-search","display_name":"Nearest neighbor search","score":0.7076787948608398},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.6614549160003662},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.6441606283187866},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.6423630118370056},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6270151734352112},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.5541919469833374},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5357721447944641},{"id":"https://openalex.org/keywords/best-bin-first","display_name":"Best bin first","score":0.46710601449012756},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.46452414989471436},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.43389198184013367},{"id":"https://openalex.org/keywords/radius","display_name":"RADIUS","score":0.432380735874176},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4277048110961914},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3651217222213745},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32054293155670166},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21110108494758606},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.1069912314414978},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08493641018867493},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06772565841674805}],"concepts":[{"id":"https://openalex.org/C116738811","wikidata":"https://www.wikidata.org/wiki/Q608751","display_name":"Nearest neighbor search","level":2,"score":0.7076787948608398},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.6614549160003662},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.6441606283187866},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.6423630118370056},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6270151734352112},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.5541919469833374},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5357721447944641},{"id":"https://openalex.org/C161986146","wikidata":"https://www.wikidata.org/wiki/Q4896845","display_name":"Best bin first","level":3,"score":0.46710601449012756},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.46452414989471436},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.43389198184013367},{"id":"https://openalex.org/C178635117","wikidata":"https://www.wikidata.org/wiki/Q747499","display_name":"RADIUS","level":2,"score":0.432380735874176},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4277048110961914},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3651217222213745},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32054293155670166},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21110108494758606},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.1069912314414978},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08493641018867493},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06772565841674805},{"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/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mfi.2014.6997742","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mfi.2014.6997742","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Conference on Multisensor Fusion and Information Integration for Intelligent Systems (MFI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1555148682","https://openalex.org/W1992642990","https://openalex.org/W2002436811","https://openalex.org/W2046434485","https://openalex.org/W2048781344","https://openalex.org/W2058606296","https://openalex.org/W2074658631","https://openalex.org/W2075690349","https://openalex.org/W2092390998","https://openalex.org/W2130567155","https://openalex.org/W2136893407","https://openalex.org/W2137374159","https://openalex.org/W2137531922","https://openalex.org/W2151837863","https://openalex.org/W2160821342","https://openalex.org/W2167387804","https://openalex.org/W2229412420","https://openalex.org/W2610087774","https://openalex.org/W3150224893"],"related_works":["https://openalex.org/W2381195555","https://openalex.org/W2182477562","https://openalex.org/W2148008870","https://openalex.org/W2245581955","https://openalex.org/W4246757943","https://openalex.org/W1595303882","https://openalex.org/W1558159560","https://openalex.org/W2368606575","https://openalex.org/W2351157934","https://openalex.org/W2375128115"],"abstract_inverted_index":{"An":[0],"algorithm":[1,108],"for":[2],"selecting":[3],"nearest":[4,77],"neighbors":[5,65],"at":[6],"a":[7,12,67,73,88,103],"variable":[8,74],"scale":[9,75,90],"rather":[10],"than":[11],"fixed":[13],"search":[14,20,63,79],"radius":[15],"in":[16,23,30,72,76],"point":[17,36],"cloud":[18,37],"neighbor":[19,78],"is":[21,57,109,121],"proposed":[22,107],"this":[24],"paper.":[25],"We":[26],"employ":[27],"the":[28,35,48,53,64,112,124],"concepts":[29],"differential":[31],"geometry":[32],"and":[33],"divide":[34],"into":[38,59],"different":[39],"clusters":[40],"according":[41],"to":[42],"their":[43],"surface":[44,55],"types.":[45],"Not":[46],"only":[47],"distance":[49],"metric":[50],"but":[51],"also":[52],"clusters'":[54],"type":[56],"taken":[58],"condition":[60],"when":[61],"we":[62],"of":[66,97,114],"certain":[68],"point.":[69],"This":[70],"results":[71],"which":[80],"can":[81],"preserve":[82],"good":[83],"enough":[84],"details":[85],"even":[86],"using":[87,102],"big":[89],"as":[91,93],"well":[92],"reduce":[94],"side":[95],"effects":[96],"noise":[98],"data":[99,113],"caused":[100],"by":[101,117,123],"small":[104],"scale.":[105],"The":[106],"tested":[110],"with":[111],"Stanford":[115],"Bunny":[116],"simulation.":[118],"Its":[119],"effectiveness":[120],"confirmed":[122],"experiments.":[125]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
