{"id":"https://openalex.org/W2921685083","doi":"https://doi.org/10.1109/access.2019.2905595","title":"An Effective Encoding Method Based on Local Information for 3D Point Cloud Classification","display_name":"An Effective Encoding Method Based on Local Information for 3D Point Cloud Classification","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2921685083","doi":"https://doi.org/10.1109/access.2019.2905595","mag":"2921685083"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2905595","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2905595","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08668393.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08668393.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5045012406","display_name":"Yanan Song","orcid":"https://orcid.org/0000-0002-5092-0329"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanan Song","raw_affiliation_strings":["State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017886286","display_name":"Liang Gao","orcid":"https://orcid.org/0000-0002-1485-0722"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Gao","raw_affiliation_strings":["State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100406104","display_name":"Xinyu Li","orcid":"https://orcid.org/0000-0002-3730-0360"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyu Li","raw_affiliation_strings":["State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-3730-0360","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":null,"display_name":"Quan-Ke Pan","orcid":"https://orcid.org/0000-0002-7373-1782"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Quan-Ke Pan","raw_affiliation_strings":["School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-7373-1782","affiliations":[{"raw_affiliation_string":"School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2075,"currency":"USD","value_usd":2075},"apc_paid":{"value":2075,"currency":"USD","value_usd":2075},"fwci":0.7021,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.62208505,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"7","issue":null,"first_page":"39369","last_page":"39377"},"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":0.9958000183105469,"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":0.9945999979972839,"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":0.8248946666717529},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6997553706169128},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.6898564100265503},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.667394757270813},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6337372660636902},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5880070924758911},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.540428638458252},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5229161977767944},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.49222055077552795},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.4461817443370819},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4332572817802429},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.4331914782524109},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3663601279258728},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16673195362091064}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.8248946666717529},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6997553706169128},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.6898564100265503},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.667394757270813},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6337372660636902},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5880070924758911},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.540428638458252},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5229161977767944},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.49222055077552795},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.4461817443370819},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4332572817802429},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.4331914782524109},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3663601279258728},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16673195362091064},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2905595","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2905595","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08668393.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:3aabfea3ae874a7b8d9066bb63046fe1","is_oa":true,"landing_page_url":"https://doaj.org/article/3aabfea3ae874a7b8d9066bb63046fe1","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 39369-39377 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2905595","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2905595","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08668393.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.5299999713897705,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G1415680640","display_name":null,"funder_award_id":"51711530038","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1964289895","display_name":null,"funder_award_id":"2018CFA078","funder_id":"https://openalex.org/F4320322186","funder_display_name":"Natural Science Foundation of Hubei Province"},{"id":"https://openalex.org/G2685635781","display_name":null,"funder_award_id":"2018CFA078","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7075704720","display_name":null,"funder_award_id":"2017QYTD04","funder_id":"https://openalex.org/F4320322186","funder_display_name":"Natural Science Foundation of Hubei Province"},{"id":"https://openalex.org/G8244006975","display_name":null,"funder_award_id":"51575212","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8399998424","display_name":"\u5927\u6570\u636e\u9a71\u52a8\u7684\u667a\u80fd\u8f66\u95f4\u8fd0\u884c\u5206\u6790\u4e0e\u51b3\u7b56\u65b9\u6cd5\u7814\u7a76","funder_award_id":"51435009","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"},{"id":"https://openalex.org/F4320322186","display_name":"Natural Science Foundation of Hubei Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2921685083.pdf","grobid_xml":"https://content.openalex.org/works/W2921685083.grobid-xml"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W149897633","https://openalex.org/W1561952261","https://openalex.org/W1629010235","https://openalex.org/W1644641054","https://openalex.org/W1920022804","https://openalex.org/W2021122545","https://openalex.org/W2091791686","https://openalex.org/W2119456790","https://openalex.org/W2124592110","https://openalex.org/W2211722331","https://openalex.org/W2394951287","https://openalex.org/W2404010480","https://openalex.org/W2555618208","https://openalex.org/W2556802233","https://openalex.org/W2560609797","https://openalex.org/W2562921071","https://openalex.org/W2608369674","https://openalex.org/W2609719703","https://openalex.org/W2747755509","https://openalex.org/W2754679757","https://openalex.org/W2792243022","https://openalex.org/W2804699200","https://openalex.org/W2814308871","https://openalex.org/W2897179506","https://openalex.org/W2901163813","https://openalex.org/W2904637289","https://openalex.org/W2904811581","https://openalex.org/W2906920259","https://openalex.org/W2911232601","https://openalex.org/W2911492105","https://openalex.org/W2962731536","https://openalex.org/W2962928871","https://openalex.org/W2963121255","https://openalex.org/W2963281829","https://openalex.org/W2963719584","https://openalex.org/W6633448084","https://openalex.org/W6640300118","https://openalex.org/W6712520605","https://openalex.org/W6739778489"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W4246352526","https://openalex.org/W2121910908","https://openalex.org/W915438175","https://openalex.org/W1983936910"],"abstract_inverted_index":{"Point":[0],"cloud":[1,21],"is":[2,28,77,129,139,160],"a":[3],"collection":[4],"of":[5,19,23,38,112,116,154],"many":[6],"unordered":[7],"points.":[8],"Deep":[9],"learning":[10,127,158],"network":[11,33,46,128,159],"encounters":[12],"difficulties":[13],"in":[14],"utilizing":[15],"the":[16,32,36,39,52,58,86,100,106,120,151,155,163],"local":[17,53,75],"information":[18,76],"point":[20,114],"because":[22],"its":[24,117],"irregular":[25],"format.":[26],"This":[27,62],"not":[29],"conducive":[30],"to":[31,34,50,131,141],"identify":[35],"details":[37],"object.":[40],"Some":[41],"strategies":[42],"that":[43,82,150],"design":[44],"new":[45],"structures":[47],"are":[48,83,93],"used":[49,130],"capture":[51],"information,":[54],"but":[55],"they":[56],"make":[57],"networks":[59],"become":[60],"complicated.":[61],"paper":[63],"proposes":[64],"an":[65],"effective":[66],"method":[67,138],"by":[68,85,162],"encoding":[69],"points":[70,81,92,104],"into":[71,95],"feature":[72,96,110,122,134],"vectors.":[73,135],"The":[74,90,109,136,146],"represented":[78],"using":[79],"neighborhood":[80,91],"searched":[84],"k-nearest":[87],"neighbor":[88],"method.":[89,165],"converted":[94],"elements":[97],"based":[98],"on":[99],"distance":[101],"between":[102],"these":[103,133],"and":[105,119],"encoded":[107],"point.":[108],"vector":[111],"each":[113],"consists":[115],"coordinates":[118],"corresponding":[121],"elements.":[123],"A":[124],"simple":[125,156],"deep":[126,157],"process":[132],"proposed":[137,164],"applied":[140],"ModelNet40":[142],"shape":[143],"classification":[144,152],"benchmark.":[145],"experimental":[147],"results":[148],"show":[149],"accuracy":[153],"improved":[161]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}
