{"id":"https://openalex.org/W4383503930","doi":"https://doi.org/10.1109/access.2023.3293161","title":"A Local-Global Feature Fusing Method for Point Clouds Semantic Segmentation","display_name":"A Local-Global Feature Fusing Method for Point Clouds Semantic Segmentation","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4383503930","doi":"https://doi.org/10.1109/access.2023.3293161"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3293161","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3293161","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10176149.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/ielx7/6287639/6514899/10176149.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5074514892","display_name":"Yuanwei Bi","orcid":null},"institutions":[{"id":"https://openalex.org/I18452120","display_name":"Yantai University","ror":"https://ror.org/01rp41m56","country_code":"CN","type":"education","lineage":["https://openalex.org/I18452120"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanwei Bi","raw_affiliation_strings":["School of Computer and Control Engineering, Yantai University, Yantai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Control Engineering, Yantai University, Yantai, China","institution_ids":["https://openalex.org/I18452120"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056708225","display_name":"Lujian Zhang","orcid":"https://orcid.org/0000-0001-6757-359X"},"institutions":[{"id":"https://openalex.org/I18452120","display_name":"Yantai University","ror":"https://ror.org/01rp41m56","country_code":"CN","type":"education","lineage":["https://openalex.org/I18452120"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lujian Zhang","raw_affiliation_strings":["School of Computer and Control Engineering, Yantai University, Yantai, China"],"raw_orcid":"https://orcid.org/0000-0001-6757-359X","affiliations":[{"raw_affiliation_string":"School of Computer and Control Engineering, Yantai University, Yantai, China","institution_ids":["https://openalex.org/I18452120"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041348573","display_name":"Yaowen Liu","orcid":"https://orcid.org/0000-0001-8591-4466"},"institutions":[{"id":"https://openalex.org/I18452120","display_name":"Yantai University","ror":"https://ror.org/01rp41m56","country_code":"CN","type":"education","lineage":["https://openalex.org/I18452120"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaowen Liu","raw_affiliation_strings":["School of Computer and Control Engineering, Yantai University, Yantai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Control Engineering, Yantai University, Yantai, China","institution_ids":["https://openalex.org/I18452120"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090212253","display_name":"Yansen Huang","orcid":"https://orcid.org/0000-0002-5427-7158"},"institutions":[{"id":"https://openalex.org/I18452120","display_name":"Yantai University","ror":"https://ror.org/01rp41m56","country_code":"CN","type":"education","lineage":["https://openalex.org/I18452120"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yansen Huang","raw_affiliation_strings":["School of Computer and Control Engineering, Yantai University, Yantai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Control Engineering, Yantai University, Yantai, China","institution_ids":["https://openalex.org/I18452120"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100458860","display_name":"Hao Liu","orcid":"https://orcid.org/0000-0003-0246-2527"},"institutions":[{"id":"https://openalex.org/I18452120","display_name":"Yantai University","ror":"https://ror.org/01rp41m56","country_code":"CN","type":"education","lineage":["https://openalex.org/I18452120"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Liu","raw_affiliation_strings":["School of Computer and Control Engineering, Yantai University, Yantai, China"],"raw_orcid":"https://orcid.org/0000-0003-0246-2527","affiliations":[{"raw_affiliation_string":"School of Computer and Control Engineering, Yantai University, Yantai, China","institution_ids":["https://openalex.org/I18452120"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.3649,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.87702385,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"11","issue":null,"first_page":"68776","last_page":"68790"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9997000098228455,"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":0.9997000098228455,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9987000226974487,"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":0.9987000226974487,"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/computer-science","display_name":"Computer science","score":0.714229166507721},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.661054790019989},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6179969906806946},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6148574948310852},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5861462354660034},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4797329008579254},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4452534317970276},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43869689106941223},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.413387656211853},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10215127468109131}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.714229166507721},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.661054790019989},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6179969906806946},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6148574948310852},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5861462354660034},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4797329008579254},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4452534317970276},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43869689106941223},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.413387656211853},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10215127468109131},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3293161","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3293161","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10176149.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:2a3699fb0af346b2a547634c04145619","is_oa":true,"landing_page_url":"https://doaj.org/article/2a3699fb0af346b2a547634c04145619","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 11, Pp 68776-68790 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3293161","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3293161","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10176149.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":[{"score":0.46000000834465027,"display_name":"No poverty","id":"https://metadata.un.org/sdg/1"}],"awards":[{"id":"https://openalex.org/G3941638460","display_name":null,"funder_award_id":"ZR2022MF238","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G496790220","display_name":null,"funder_award_id":"62272405","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/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4383503930.pdf","grobid_xml":"https://content.openalex.org/works/W4383503930.grobid-xml"},"referenced_works_count":76,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1644641054","https://openalex.org/W2035850930","https://openalex.org/W2194775991","https://openalex.org/W2211722331","https://openalex.org/W2556802233","https://openalex.org/W2560609797","https://openalex.org/W2586114507","https://openalex.org/W2594519801","https://openalex.org/W2618534726","https://openalex.org/W2752782242","https://openalex.org/W2775216572","https://openalex.org/W2955399703","https://openalex.org/W2960986959","https://openalex.org/W2963091558","https://openalex.org/W2963121255","https://openalex.org/W2963125977","https://openalex.org/W2963182550","https://openalex.org/W2963706542","https://openalex.org/W2979750740","https://openalex.org/W2986519121","https://openalex.org/W2990613095","https://openalex.org/W2991216808","https://openalex.org/W2997333789","https://openalex.org/W2997890711","https://openalex.org/W2998083489","https://openalex.org/W3006536754","https://openalex.org/W3011788244","https://openalex.org/W3012494314","https://openalex.org/W3014902535","https://openalex.org/W3015248322","https://openalex.org/W3025468529","https://openalex.org/W3035541121","https://openalex.org/W3111535274","https://openalex.org/W3126696000","https://openalex.org/W3153465022","https://openalex.org/W3155031595","https://openalex.org/W3156915811","https://openalex.org/W3158097430","https://openalex.org/W3158253560","https://openalex.org/W3165639664","https://openalex.org/W3168037706","https://openalex.org/W3171215128","https://openalex.org/W3171433839","https://openalex.org/W3184559089","https://openalex.org/W3189820959","https://openalex.org/W3206842099","https://openalex.org/W3209992943","https://openalex.org/W3210065386","https://openalex.org/W4214755140","https://openalex.org/W4220967590","https://openalex.org/W4221163288","https://openalex.org/W4223646432","https://openalex.org/W4225619493","https://openalex.org/W4226034591","https://openalex.org/W4291007208","https://openalex.org/W4292554355","https://openalex.org/W4295755233","https://openalex.org/W4303980708","https://openalex.org/W4306399487","https://openalex.org/W4312788649","https://openalex.org/W4312944418","https://openalex.org/W4313590732","https://openalex.org/W4317506318","https://openalex.org/W4317569045","https://openalex.org/W4319459112","https://openalex.org/W4320493621","https://openalex.org/W4361770945","https://openalex.org/W4362471592","https://openalex.org/W4366714559","https://openalex.org/W6631190155","https://openalex.org/W6733367512","https://openalex.org/W6739778489","https://openalex.org/W6810220931","https://openalex.org/W6841594348","https://openalex.org/W6851513138"],"related_works":["https://openalex.org/W3016928466","https://openalex.org/W4389574804","https://openalex.org/W2936725271","https://openalex.org/W3150655618","https://openalex.org/W3108295644","https://openalex.org/W4399442168","https://openalex.org/W2114282491","https://openalex.org/W4282934273","https://openalex.org/W1522196789","https://openalex.org/W39961996"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"the":[3,12,31,36,51,80,103,110,176],"abundance":[4],"of":[5,15,21,35,50,83,178],"information":[6,63,82,99],"in":[7],"3D":[8,16],"data":[9,54],"has":[10],"made":[11],"semantic":[13,98],"segmentation":[14,58,139],"point":[17,37,52,84],"clouds":[18],"a":[19,73,88,115,137],"topic":[20],"great":[22],"interest.":[23],"However,":[24],"current":[25],"methods":[26],"often":[27],"rely":[28],"solely":[29],"on":[30,150],"original":[32,81,104],"three-dimensional":[33],"coordinates":[34],"cloud":[38,53],"as":[39],"input":[40],"geometric":[41,96],"features,":[42],"leading":[43],"to":[44,124,142,174],"poor":[45],"generalization":[46],"performance.":[47],"Additionally,":[48],"occlusion":[49],"can":[55],"negatively":[56],"impact":[57],"accuracy":[59],"when":[60],"only":[61],"local":[62,132],"is":[64],"considered.":[65],"To":[66,77],"address":[67],"these":[68],"issues,":[69],"this":[70],"paper":[71],"proposes":[72],"network":[74],"named":[75],"LGFF-Net.":[76,179],"fully":[78],"utilize":[79],"clouds,":[85],"we":[86,113,129],"designed":[87],"Local":[89],"Feature":[90,120],"Aggregation":[91],"(LFA)":[92],"module":[93,123],"that":[94],"treats":[95],"and":[97,101,117,133,166],"equally":[100],"preserves":[102],"properties":[105],"while":[106],"cross-augmenting":[107],"them.":[108],"On":[109],"other":[111],"hand,":[112],"proposed":[114],"simple":[116],"effective":[118],"Global":[119],"Extraction":[121],"(GFE)":[122],"extract":[125],"global":[126,134],"features.":[127],"Finally,":[128],"hierarchically":[130],"fuse":[131],"features":[135],"using":[136],"U-shaped":[138],"structure.":[140],"Compared":[141],"state-of-the-art":[143],"networks,":[144],"our":[145],"method":[146],"achieves":[147],"competitive":[148],"results":[149],"several":[151],"benchmark":[152],"datasets,":[153],"including":[154],"Semantic":[155],"Topographic":[156],"Point":[157],"Labeling-Synthetic":[158],"3D,":[159],"Toronto_3D,":[160],"Stanford":[161],"Large":[162],"3-D":[163],"Indoor":[164],"Space,":[165],"ScanNet.":[167],"We":[168],"also":[169],"conduct":[170],"multiple":[171],"ablation":[172],"experiments":[173],"validate":[175],"efficacy":[177]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}