{"id":"https://openalex.org/W3120377000","doi":"https://doi.org/10.1109/lsp.2020.3048605","title":"LFNet: Local Rotation Invariant Coordinate Frame for Robust Point Cloud Analysis","display_name":"LFNet: Local Rotation Invariant Coordinate Frame for Robust Point Cloud Analysis","publication_year":2020,"publication_date":"2020-12-31","ids":{"openalex":"https://openalex.org/W3120377000","doi":"https://doi.org/10.1109/lsp.2020.3048605","mag":"3120377000"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2020.3048605","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2020.3048605","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Signal Processing Letters","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/A5012388026","display_name":"Hezhi Cao","orcid":"https://orcid.org/0000-0003-4760-0743"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hezhi Cao","raw_affiliation_strings":["National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0003-4760-0743","affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012515711","display_name":"Ronghui Zhan","orcid":"https://orcid.org/0000-0001-6799-620X"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ronghui Zhan","raw_affiliation_strings":["National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0001-6799-620X","affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048056956","display_name":"Yanxin Ma","orcid":"https://orcid.org/0000-0003-4752-3370"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanxin Ma","raw_affiliation_strings":["National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036455193","display_name":"Chao Ma","orcid":"https://orcid.org/0000-0003-0751-7865"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Ma","raw_affiliation_strings":["National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0003-0751-7865","affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100723686","display_name":"Jun Zhang","orcid":"https://orcid.org/0000-0003-3607-213X"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Zhang","raw_affiliation_strings":["National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5012388026"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":1.4378,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.79773957,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"28","issue":null,"first_page":"209","last_page":"213"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9972000122070312,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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":0.6423437595367432},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6309289932250977},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.6094533205032349},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5922154784202576},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5757054090499878},{"id":"https://openalex.org/keywords/rotation","display_name":"Rotation (mathematics)","score":0.5630748271942139},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5586592555046082},{"id":"https://openalex.org/keywords/coordinate-system","display_name":"Coordinate system","score":0.5556570291519165},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5290892124176025},{"id":"https://openalex.org/keywords/reference-frame","display_name":"Reference frame","score":0.45242512226104736},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.4482041001319885},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.36104458570480347},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3332391679286957},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31557697057724}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.6423437595367432},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6309289932250977},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.6094533205032349},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5922154784202576},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5757054090499878},{"id":"https://openalex.org/C74050887","wikidata":"https://www.wikidata.org/wiki/Q848368","display_name":"Rotation (mathematics)","level":2,"score":0.5630748271942139},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5586592555046082},{"id":"https://openalex.org/C80551277","wikidata":"https://www.wikidata.org/wiki/Q11210","display_name":"Coordinate system","level":2,"score":0.5556570291519165},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5290892124176025},{"id":"https://openalex.org/C172849965","wikidata":"https://www.wikidata.org/wiki/Q3148875","display_name":"Reference frame","level":3,"score":0.45242512226104736},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.4482041001319885},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.36104458570480347},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3332391679286957},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31557697057724},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2020.3048605","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2020.3048605","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2580802114","display_name":null,"funder_award_id":"62002372","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2705889011","display_name":null,"funder_award_id":"62001486","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W603908379","https://openalex.org/W1920022804","https://openalex.org/W2553307952","https://openalex.org/W2560609797","https://openalex.org/W2601564443","https://openalex.org/W2624503621","https://openalex.org/W2790466413","https://openalex.org/W2796422723","https://openalex.org/W2900450978","https://openalex.org/W2902302021","https://openalex.org/W2945590408","https://openalex.org/W2948196881","https://openalex.org/W2962701877","https://openalex.org/W2963121255","https://openalex.org/W2963231572","https://openalex.org/W2963509914","https://openalex.org/W2963719584","https://openalex.org/W2979750740","https://openalex.org/W2981856165","https://openalex.org/W2982319484","https://openalex.org/W2982589786","https://openalex.org/W2985088149","https://openalex.org/W2986695440","https://openalex.org/W2990613095","https://openalex.org/W6618372016","https://openalex.org/W6640300118","https://openalex.org/W6750239584","https://openalex.org/W6756184419","https://openalex.org/W6763083313"],"related_works":["https://openalex.org/W3016928466","https://openalex.org/W4389574804","https://openalex.org/W2936725271","https://openalex.org/W3150655618","https://openalex.org/W2295788148","https://openalex.org/W1578717197","https://openalex.org/W3108295644","https://openalex.org/W2626737336","https://openalex.org/W2005998065","https://openalex.org/W2562256921"],"abstract_inverted_index":{"Deep":[0],"neural":[1,35],"networks":[2],"have":[3],"achieved":[4],"great":[5],"progress":[6],"in":[7,21,26,59,100],"3D":[8],"scene":[9],"understanding.":[10],"However,":[11],"recent":[12],"methods":[13],"mainly":[14],"focused":[15],"on":[16,43,70,148],"objects":[17,62],"with":[18,23],"canonical":[19],"orientations":[20],"contrast":[22],"random":[24],"postures":[25],"reality.":[27],"In":[28],"this":[29,71],"letter,":[30],"we":[31],"propose":[32],"a":[33,94,126],"hierarchical":[34],"network,":[36],"named":[37],"Local":[38],"Frame":[39],"Network":[40],"(LFNet),":[41],"based":[42,69],"the":[44,75,85,90,101,117,122,136,140,154,159],"local":[45,56,111,141],"rotation":[46,107],"invariant":[47,108],"coordinate":[48,72,103],"frame":[49,104],"for":[50],"robust":[51],"point":[52,57],"cloud":[53],"analysis.":[54],"The":[55],"patches":[58],"different":[60],"orientated":[61],"are":[63,78],"transformed":[64,76],"into":[65],"an":[66],"identical":[67],"distribution":[68],"frame,":[73],"and":[74,145,166],"coordinates":[77],"taken":[79],"as":[80],"input":[81,91],"features":[82,109],"to":[83,105,134],"eliminate":[84,158],"influence":[86,118,160],"of":[87,119,139,161],"rotations":[88,120,162],"at":[89,121],"level.":[92,124],"Meanwhile,":[93],"discrete":[95],"convolution":[96,123],"operator":[97],"is":[98,132],"defined":[99],"constructed":[102],"extract":[106],"from":[110],"patches,":[112],"which":[113],"can":[114,157],"further":[115],"remove":[116],"Moreover,":[125],"Spatial":[127],"Feature":[128],"Encoder":[129],"(SFE)":[130],"module":[131],"utilized":[133],"perceive":[135],"spatial":[137],"structure":[138],"region.":[142],"Mathematical":[143],"analysis":[144],"experimental":[146],"results":[147],"two":[149],"public":[150],"datasets":[151],"demonstrate":[152],"that":[153],"proposed":[155],"method":[156],"without":[163],"data":[164],"augmentation":[165],"outperforms":[167],"other":[168],"state-of-the-art":[169],"methods.":[170]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}