{"id":"https://openalex.org/W3211090056","doi":"https://doi.org/10.3233/jcm-215541","title":"Simplification algorithm of denture point cloud based on feature preserving","display_name":"Simplification algorithm of denture point cloud based on feature preserving","publication_year":2021,"publication_date":"2021-10-26","ids":{"openalex":"https://openalex.org/W3211090056","doi":"https://doi.org/10.3233/jcm-215541","mag":"3211090056"},"language":"en","primary_location":{"id":"doi:10.3233/jcm-215541","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jcm-215541","pdf_url":null,"source":{"id":"https://openalex.org/S2765058733","display_name":"Journal of Computational Methods in Sciences and Engineering","issn_l":"1472-7978","issn":["1472-7978","1875-8983"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational Methods in Sciences and Engineering","raw_type":"journal-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/A5066783502","display_name":"Shigang Wang","orcid":"https://orcid.org/0000-0001-5961-4582"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Shigang Wang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061781593","display_name":"Shuai Peng","orcid":"https://orcid.org/0000-0002-9828-806X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shuai Peng","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5086388647","display_name":"Jiawen He","orcid":"https://orcid.org/0009-0000-1853-3217"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiawen He","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5066783502"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1751,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.47608407,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"21","issue":"6","first_page":"2035","last_page":"2048"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.996999979019165,"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":0.996999979019165,"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":0.9642000198364258,"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9616000056266785,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.8723158240318298},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6435133218765259},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6308903694152832},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.5710259675979614},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5682932138442993},{"id":"https://openalex.org/keywords/smoothness","display_name":"Smoothness","score":0.5549072027206421},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5395544767379761},{"id":"https://openalex.org/keywords/octree","display_name":"Octree","score":0.5333908200263977},{"id":"https://openalex.org/keywords/centroid","display_name":"Centroid","score":0.5301713943481445},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5180407166481018},{"id":"https://openalex.org/keywords/curvature","display_name":"Curvature","score":0.4315502643585205},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4249511957168579},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3758966326713562},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2863540053367615},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.18647369742393494},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.09971863031387329}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.8723158240318298},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6435133218765259},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6308903694152832},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.5710259675979614},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5682932138442993},{"id":"https://openalex.org/C102634674","wikidata":"https://www.wikidata.org/wiki/Q868473","display_name":"Smoothness","level":2,"score":0.5549072027206421},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5395544767379761},{"id":"https://openalex.org/C141297171","wikidata":"https://www.wikidata.org/wiki/Q1143237","display_name":"Octree","level":2,"score":0.5333908200263977},{"id":"https://openalex.org/C146599234","wikidata":"https://www.wikidata.org/wiki/Q511093","display_name":"Centroid","level":2,"score":0.5301713943481445},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5180407166481018},{"id":"https://openalex.org/C195065555","wikidata":"https://www.wikidata.org/wiki/Q214881","display_name":"Curvature","level":2,"score":0.4315502643585205},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4249511957168579},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3758966326713562},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2863540053367615},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.18647369742393494},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.09971863031387329},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jcm-215541","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jcm-215541","pdf_url":null,"source":{"id":"https://openalex.org/S2765058733","display_name":"Journal of Computational Methods in Sciences and Engineering","issn_l":"1472-7978","issn":["1472-7978","1875-8983"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational Methods in Sciences and Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6700000166893005,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2068034065","https://openalex.org/W2100816864","https://openalex.org/W2502656088","https://openalex.org/W2594064410","https://openalex.org/W2608027452","https://openalex.org/W2774634965","https://openalex.org/W2791686075","https://openalex.org/W2836455343","https://openalex.org/W2971755476","https://openalex.org/W2981956346","https://openalex.org/W2998115525","https://openalex.org/W3149966703","https://openalex.org/W3150224893","https://openalex.org/W3175829497","https://openalex.org/W6683356159","https://openalex.org/W6796908697"],"related_works":["https://openalex.org/W2776826689","https://openalex.org/W2348653124","https://openalex.org/W2089908184","https://openalex.org/W2392270594","https://openalex.org/W2773541276","https://openalex.org/W2156453104","https://openalex.org/W1979313280","https://openalex.org/W2392034603","https://openalex.org/W4200108838","https://openalex.org/W2352029666"],"abstract_inverted_index":{"Due":[0],"to":[1,29,56,63,76,94,111,146,186],"the":[2,31,34,52,58,65,68,72,78,83,86,89,92,95,101,105,109,112,118,134,137,148,155,172,177,188,197,201,212,217],"point":[3,19,41,59,93,110,122,139,205],"cloud":[4,20,42,60,123,140,206],"of":[5,13,67,74,80,121,150,163,180,204,214,231],"oral":[6],"scan":[7],"denture":[8],"has":[9],"a":[10],"large":[11],"amount":[12],"data":[14,43],"and":[15,44,104,130,154,176,209,227,229],"redundant":[16],"points.":[17],"A":[18],"simplification":[21,190,218],"algorithm":[22,53,153,198],"based":[23],"on":[24,114],"feature":[25,35],"preserving":[26,36],"is":[27,37,141],"proposed":[28],"solve":[30],"problem":[32],"that":[33,75,196],"incomplete":[38],"when":[39],"processing":[40],"cavities":[45],"occur":[46],"in":[47,216],"relatively":[48],"flat":[49],"regions.":[50],"Firstly,":[51],"uses":[54],"kd-tree":[55],"construct":[57],"spatial":[61],"topological":[62],"search":[64],"k-Neighborhood":[66],"sampling":[69],"point.":[70,159],"On":[71],"basis":[73],"calculate":[77],"curvature":[79],"each":[81],"point,":[82],"angle":[84],"between":[85],"normal":[87],"vector,":[88],"distance":[90,107],"from":[91,108],"neighborhood":[96,113],"centroid,":[97],"as":[98,100],"well":[99],"standard":[102],"deviation":[103],"average":[106],"this":[115],"basis,":[116],"therefore,":[117],"detailed":[119],"features":[120,175],"can":[124,199],"be":[125,184],"extracted":[126,173],"by":[127],"multi-feature":[128],"extraction":[129],"threshold":[131],"determination.":[132],"For":[133],"non-characteristic":[135,138,164],"region,":[136],"spatially":[142],"divided":[143],"through":[144],"Octree":[145],"obtain":[147,187],"K-value":[149],"K-means":[151],"clustering":[152,157],"initial":[156],"center":[158],"The":[160,192,220],"simplified":[161,221],"results":[162,194,222],"regions":[165],"are":[166,230],"obtained":[167],"after":[168],"further":[169],"subdivision.":[170],"Finally,":[171],"detail":[174],"reduced":[178],"result":[179],"non-featured":[181],"region":[182],"will":[183],"merged":[185],"final":[189],"result.":[191],"experimental":[193],"show":[195],"retain":[200],"characteristic":[202],"information":[203],"model":[207],"better,":[208],"effectively":[210],"avoid":[211],"phenomenon":[213],"holes":[215],"process.":[219],"have":[223],"better":[224],"smoothness,":[225],"simplicity":[226],"precision,":[228],"high":[232],"practical":[233],"value.":[234]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}