{"id":"https://openalex.org/W2862574458","doi":"https://doi.org/10.1109/i2mtc.2018.8409590","title":"A novel identification method based on point cloud data processing technology for quadric surface models","display_name":"A novel identification method based on point cloud data processing technology for quadric surface models","publication_year":2018,"publication_date":"2018-05-01","ids":{"openalex":"https://openalex.org/W2862574458","doi":"https://doi.org/10.1109/i2mtc.2018.8409590","mag":"2862574458"},"language":"en","primary_location":{"id":"doi:10.1109/i2mtc.2018.8409590","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i2mtc.2018.8409590","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","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/A5053178348","display_name":"Xiaoqiang Tian","orcid":"https://orcid.org/0000-0002-5378-5185"},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoqiang Tian","raw_affiliation_strings":["Institute of Information Science and Engineering, Yanshan University, Qinhuangdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Science and Engineering, Yanshan University, Qinhuangdao, China","institution_ids":["https://openalex.org/I39333907"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022434722","display_name":"Lingfu Kong","orcid":"https://orcid.org/0000-0001-7696-1412"},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingfu Kong","raw_affiliation_strings":["Institute of Information Science and Engineering, Yanshan University, Qinhuangdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Science and Engineering, Yanshan University, Qinhuangdao, China","institution_ids":["https://openalex.org/I39333907"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102705166","display_name":"Deming Kong","orcid":"https://orcid.org/0000-0002-2916-2172"},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]},{"id":"https://openalex.org/I4210128819","display_name":"Institute of Electrical Engineering","ror":"https://ror.org/033js6g46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128819"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Deming Kong","raw_affiliation_strings":["Institute of Electrical Engineering, Yanshan University, Qinhuangdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Electrical Engineering, Yanshan University, Qinhuangdao, China","institution_ids":["https://openalex.org/I39333907","https://openalex.org/I4210128819"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100386507","display_name":"Xiaoyu Chen","orcid":"https://orcid.org/0000-0003-4983-8456"},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyu Chen","raw_affiliation_strings":["Institute of Information Science and Engineering, Yanshan University, Qinhuangdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Science and Engineering, Yanshan University, Qinhuangdao, China","institution_ids":["https://openalex.org/I39333907"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100441334","display_name":"Shutao Wang","orcid":"https://orcid.org/0000-0003-2708-2205"},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]},{"id":"https://openalex.org/I4210128819","display_name":"Institute of Electrical Engineering","ror":"https://ror.org/033js6g46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128819"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shutao Wang","raw_affiliation_strings":["Institute of Electrical Engineering, Yanshan University, Qinhuangdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Electrical Engineering, Yanshan University, Qinhuangdao, China","institution_ids":["https://openalex.org/I39333907","https://openalex.org/I4210128819"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1344,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.49845642,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"86","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9987999796867371,"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":0.9987999796867371,"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":0.9983999729156494,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9975000023841858,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.8527800440788269},{"id":"https://openalex.org/keywords/quadric","display_name":"Quadric","score":0.8222068548202515},{"id":"https://openalex.org/keywords/surface","display_name":"Surface (topology)","score":0.593701958656311},{"id":"https://openalex.org/keywords/delaunay-triangulation","display_name":"Delaunay triangulation","score":0.579906702041626},{"id":"https://openalex.org/keywords/normal","display_name":"Normal","score":0.5421913266181946},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5187402367591858},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4918844699859619},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4822705388069153},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.457847535610199},{"id":"https://openalex.org/keywords/triangulated-irregular-network","display_name":"Triangulated irregular network","score":0.4205480217933655},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3213726580142975},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.2411327064037323},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.10927075147628784},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.0803910493850708},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07133200764656067}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.8527800440788269},{"id":"https://openalex.org/C2779219049","wikidata":"https://www.wikidata.org/wiki/Q852117","display_name":"Quadric","level":2,"score":0.8222068548202515},{"id":"https://openalex.org/C2776799497","wikidata":"https://www.wikidata.org/wiki/Q484298","display_name":"Surface (topology)","level":2,"score":0.593701958656311},{"id":"https://openalex.org/C68010082","wikidata":"https://www.wikidata.org/wiki/Q192445","display_name":"Delaunay triangulation","level":2,"score":0.579906702041626},{"id":"https://openalex.org/C118732077","wikidata":"https://www.wikidata.org/wiki/Q273176","display_name":"Normal","level":3,"score":0.5421913266181946},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5187402367591858},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4918844699859619},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4822705388069153},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.457847535610199},{"id":"https://openalex.org/C131509275","wikidata":"https://www.wikidata.org/wiki/Q2296387","display_name":"Triangulated irregular network","level":3,"score":0.4205480217933655},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3213726580142975},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.2411327064037323},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.10927075147628784},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0803910493850708},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07133200764656067},{"id":"https://openalex.org/C181843262","wikidata":"https://www.wikidata.org/wiki/Q640492","display_name":"Digital elevation model","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/i2mtc.2018.8409590","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i2mtc.2018.8409590","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.6700000166893005,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322163","display_name":"Natural Science Foundation of Hebei Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1994858606","https://openalex.org/W2007090378","https://openalex.org/W2041434430","https://openalex.org/W2084955675","https://openalex.org/W2151005682","https://openalex.org/W2323789700","https://openalex.org/W2324385775","https://openalex.org/W2354652746","https://openalex.org/W2604749410","https://openalex.org/W2761952395","https://openalex.org/W2964224242","https://openalex.org/W3149240368"],"related_works":["https://openalex.org/W2085239170","https://openalex.org/W2063038346","https://openalex.org/W2353387555","https://openalex.org/W2079099283","https://openalex.org/W2360747259","https://openalex.org/W1966599063","https://openalex.org/W2362395503","https://openalex.org/W1933828312","https://openalex.org/W2354019129","https://openalex.org/W181724929"],"abstract_inverted_index":{"A":[0],"novel":[1],"method":[2,120],"is":[3,80,102,121],"proposed":[4,119],"in":[5,53,85],"this":[6],"paper":[7],"to":[8],"detect":[9],"the":[10,37,47,59,68,74,89,105,112],"types":[11,75],"of":[12,46,51,70,76,91,111],"quadric":[13,26,77,99],"surface":[14,27,78,100,109],"models.":[15,28],"Firstly,":[16],"using":[17,124],"high-precision":[18],"3D":[19],"scanner,":[20],"point":[21,38,54],"clouds":[22,39,55],"are":[23,34,56],"acquired":[24,57],"from":[25,36],"Secondly,":[29],"triangulated":[30],"irregular":[31],"network":[32],"models":[33,79],"generated":[35],"by":[40,58,123],"Delaunay":[41],"algorithm.":[42,63],"Thirdly,":[43],"normal":[44,71,92],"vectors":[45,72,93],"nearest":[48],"neighborhood":[49],"planes":[50],"points":[52],"least":[60],"square":[61],"fitting":[62],"Finally,":[64],"mapping":[65,107],"relationship":[66],"between":[67],"distributions":[69],"and":[73],"constructed.":[81],"As":[82],"a":[83,96],"result,":[84],"real":[86],"applications,":[87],"if":[88],"distribution":[90],"obtained":[94],"for":[95],"certain":[97],"scanned":[98],"model":[101,113],"consistent":[103],"with":[104],"constructed":[106],"relationship,":[108],"type":[110],"can":[114],"be":[115],"rapidly":[116],"identified.":[117],"The":[118],"validated":[122],"an":[125],"experiment.":[126]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
