{"id":"https://openalex.org/W4283386398","doi":"https://doi.org/10.1109/tpami.2022.3185644","title":"Intrinsic and Isotropic Resampling for 3D Point Clouds","display_name":"Intrinsic and Isotropic Resampling for 3D Point Clouds","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4283386398","doi":"https://doi.org/10.1109/tpami.2022.3185644","pmid":"https://pubmed.ncbi.nlm.nih.gov/35737618"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2022.3185644","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2022.3185644","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/A5031431073","display_name":"Chenlei Lv","orcid":"https://orcid.org/0000-0002-8203-3118"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Chenlei Lv","raw_affiliation_strings":["School of Computer Science and Engineering, Nanyang Technological University, Singapore"],"raw_orcid":"https://orcid.org/0000-0002-8203-3118","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100403129","display_name":"Weisi Lin","orcid":"https://orcid.org/0000-0001-9866-1947"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Weisi Lin","raw_affiliation_strings":["School of Computer Science and Engineering, Nanyang Technological University, Singapore"],"raw_orcid":"https://orcid.org/0000-0001-9866-1947","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102379113","display_name":"Baoquan Zhao","orcid":"https://orcid.org/0000-0002-0574-1663"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baoquan Zhao","raw_affiliation_strings":["School of Artificial Intelligent, Sun Yat-sen University, China"],"raw_orcid":"https://orcid.org/0000-0002-0574-1663","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligent, Sun Yat-sen University, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5031431073"],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":4.4856,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.95928769,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"45","issue":"3","first_page":"1","last_page":"18"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9998000264167786,"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":0.9998000264167786,"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9994999766349792,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9975000023841858,"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/point-cloud","display_name":"Point cloud","score":0.9192920923233032},{"id":"https://openalex.org/keywords/resampling","display_name":"Resampling","score":0.8692421913146973},{"id":"https://openalex.org/keywords/geodesic","display_name":"Geodesic","score":0.7326869368553162},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6375089287757874},{"id":"https://openalex.org/keywords/isotropy","display_name":"Isotropy","score":0.6254534721374512},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5032426714897156},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.485072523355484},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4292856752872467},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.4128768742084503},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39702916145324707},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3835100531578064},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3293643593788147},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.24211671948432922},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.0829927921295166},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07529205083847046}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.9192920923233032},{"id":"https://openalex.org/C150921843","wikidata":"https://www.wikidata.org/wiki/Q1170431","display_name":"Resampling","level":2,"score":0.8692421913146973},{"id":"https://openalex.org/C165818556","wikidata":"https://www.wikidata.org/wiki/Q213488","display_name":"Geodesic","level":2,"score":0.7326869368553162},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6375089287757874},{"id":"https://openalex.org/C184050105","wikidata":"https://www.wikidata.org/wiki/Q273163","display_name":"Isotropy","level":2,"score":0.6254534721374512},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5032426714897156},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.485072523355484},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4292856752872467},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.4128768742084503},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39702916145324707},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3835100531578064},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3293643593788147},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.24211671948432922},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0829927921295166},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07529205083847046},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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":2,"locations":[{"id":"doi:10.1109/tpami.2022.3185644","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2022.3185644","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:35737618","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35737618","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":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.5199999809265137}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":75,"referenced_works":["https://openalex.org/W1202180536","https://openalex.org/W1484846518","https://openalex.org/W1567242735","https://openalex.org/W1913356549","https://openalex.org/W1969052304","https://openalex.org/W1986049249","https://openalex.org/W1987985833","https://openalex.org/W1988317275","https://openalex.org/W1992642990","https://openalex.org/W1998548144","https://openalex.org/W1999690352","https://openalex.org/W2001108154","https://openalex.org/W2001601047","https://openalex.org/W2004402003","https://openalex.org/W2006213557","https://openalex.org/W2007301373","https://openalex.org/W2015901765","https://openalex.org/W2023657303","https://openalex.org/W2024403957","https://openalex.org/W2027374776","https://openalex.org/W2031091629","https://openalex.org/W2037630241","https://openalex.org/W2061987443","https://openalex.org/W2065139213","https://openalex.org/W2068034065","https://openalex.org/W2083624955","https://openalex.org/W2087423500","https://openalex.org/W2097832352","https://openalex.org/W2099594591","https://openalex.org/W2099909906","https://openalex.org/W2112477742","https://openalex.org/W2114288655","https://openalex.org/W2119102489","https://openalex.org/W2119693472","https://openalex.org/W2121934905","https://openalex.org/W2136967535","https://openalex.org/W2140768594","https://openalex.org/W2152424156","https://openalex.org/W2153226019","https://openalex.org/W2157507643","https://openalex.org/W2158361880","https://openalex.org/W2160821342","https://openalex.org/W2169611956","https://openalex.org/W2427881153","https://openalex.org/W2472661502","https://openalex.org/W2545896075","https://openalex.org/W2557166550","https://openalex.org/W2586580946","https://openalex.org/W2591997370","https://openalex.org/W2620782653","https://openalex.org/W2765223700","https://openalex.org/W2800822329","https://openalex.org/W2810731241","https://openalex.org/W2892904655","https://openalex.org/W2902725192","https://openalex.org/W2906788812","https://openalex.org/W2925967166","https://openalex.org/W2943366789","https://openalex.org/W2947807161","https://openalex.org/W2963231572","https://openalex.org/W2963264709","https://openalex.org/W2963680153","https://openalex.org/W2969762002","https://openalex.org/W3014902535","https://openalex.org/W3016937210","https://openalex.org/W3040129105","https://openalex.org/W3125178117","https://openalex.org/W3137466219","https://openalex.org/W3146210588","https://openalex.org/W3150224893","https://openalex.org/W3152836822","https://openalex.org/W3156072581","https://openalex.org/W6638158922","https://openalex.org/W6682852984","https://openalex.org/W6686975262"],"related_works":["https://openalex.org/W2052515325","https://openalex.org/W2050948537","https://openalex.org/W2767646790","https://openalex.org/W2352041579","https://openalex.org/W1488006380","https://openalex.org/W2138381686","https://openalex.org/W2794789911","https://openalex.org/W2141585124","https://openalex.org/W1998176685","https://openalex.org/W3123883311"],"abstract_inverted_index":{"With":[0],"rapid":[1],"development":[2],"of":[3,28,36,45,65,172],"3D":[4,7],"scanning":[5],"technology,":[6],"point":[8,29,41,46,79,103,112,133,149,159],"cloud":[9,30,80,104,113,134,150,160],"based":[10,139],"research":[11],"and":[12,43,56,86,164],"applications":[13],"are":[14,21],"becoming":[15],"more":[16],"popular.":[17],"However,":[18],"major":[19,68],"difficulties":[20,33],"still":[22],"exist":[23],"which":[24],"affect":[25],"the":[26,63,92,169],"performance":[27,155],"utilization.":[31],"Such":[32],"include":[34],"lack":[35],"local":[37,83,123],"adjacency":[38],"information,":[39],"non-uniform":[40],"density,":[42],"control":[44,73],"numbers.":[47],"In":[48],"this":[49],"paper,":[50],"we":[51],"propose":[52],"a":[53,78,96,102],"two-step":[54],"intrinsic":[55,72],"isotropic":[57,107],"(I&I)":[58],"resampling":[59,94,151,174],"framework":[60,152],"to":[61,81,100,118],"address":[62],"challenge":[64],"these":[66],"three":[67],"difficulties.":[69],"The":[70,111,132],"efficient":[71],"provides":[74],"geodesic":[75,89],"measurement":[76],"for":[77],"improve":[82],"region":[84],"detection":[85],"avoids":[87],"redundant":[88],"calculation.":[90],"Then":[91],"geometrically-optimized":[93],"uses":[95],"geometric":[97,126],"update":[98],"process":[99],"optimize":[101],"into":[105],"an":[106],"or":[108,122,143],"adaptively-isotropic":[109],"one.":[110],"density":[114],"can":[115,136],"be":[116,137],"adjusted":[117],"global":[119],"uniform":[120,124],"(isotropic)":[121],"with":[125],"feature":[127],"keeping":[128],"(being":[129],"adaptively":[130],"isotropic).":[131],"number":[135],"controlled":[138],"on":[140],"application":[141],"requirement":[142],"user-specification.":[144],"Experiments":[145],"show":[146],"that":[147],"our":[148,173],"achieves":[153],"outstanding":[154],"in":[156],"different":[157],"applications:":[158],"simplification,":[161],"mesh":[162],"reconstruction":[163],"shape":[165],"registration.":[166],"We":[167],"provide":[168],"implementation":[170],"codes":[171],"method":[175],"at":[176],"https://github.com/vvvwo/II-resampling.":[177]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
