{"id":"https://openalex.org/W7124461683","doi":"https://doi.org/10.1109/tii.2025.3649692","title":"PrimitiveGroup: A Fast Primitive Segmentation Framework on Industrial Point Clouds","display_name":"PrimitiveGroup: A Fast Primitive Segmentation Framework on Industrial Point Clouds","publication_year":2026,"publication_date":"2026-01-15","ids":{"openalex":"https://openalex.org/W7124461683","doi":"https://doi.org/10.1109/tii.2025.3649692"},"language":null,"primary_location":{"id":"doi:10.1109/tii.2025.3649692","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2025.3649692","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Transactions on Industrial Informatics","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/A5110991341","display_name":"Anyi Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Anyi Huang","raw_affiliation_strings":["School of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-7145-8535","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000881159","display_name":"Zhoutao Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhoutao Wang","raw_affiliation_strings":["School of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China"],"raw_orcid":"https://orcid.org/0009-0002-5798-2407","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047390088","display_name":"Zikuan Li","orcid":"https://orcid.org/0000-0001-7471-1188"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zikuan Li","raw_affiliation_strings":["School of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-7471-1188","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123233095","display_name":"Mingqiang Wei","orcid":null},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingqiang Wei","raw_affiliation_strings":["School of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091614112","display_name":"J. Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Wang","raw_affiliation_strings":["College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-9223-2615","affiliations":[{"raw_affiliation_string":"College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China","institution_ids":["https://openalex.org/I9842412"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5110991341"],"corresponding_institution_ids":["https://openalex.org/I9842412"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10915191,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"22","issue":"4","first_page":"3574","last_page":"3584"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.5449000000953674,"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":0.5449000000953674,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.14630000293254852,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.07509999722242355,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.728600025177002},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6801999807357788},{"id":"https://openalex.org/keywords/offset","display_name":"Offset (computer science)","score":0.6690999865531921},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6571999788284302},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.6560999751091003},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4341000020503998},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4212999939918518},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4205999970436096}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.728600025177002},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.697700023651123},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6801999807357788},{"id":"https://openalex.org/C175291020","wikidata":"https://www.wikidata.org/wiki/Q1156822","display_name":"Offset (computer science)","level":2,"score":0.6690999865531921},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6571999788284302},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.6560999751091003},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5763000249862671},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4341000020503998},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4212999939918518},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4205999970436096},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.38420000672340393},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.3822999894618988},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.3804999887943268},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.357699990272522},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35679998993873596},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.34950000047683716},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.33469998836517334},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.32440000772476196},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2831000089645386},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.2800000011920929},{"id":"https://openalex.org/C27511587","wikidata":"https://www.wikidata.org/wiki/Q2178623","display_name":"Spatial relation","level":2,"score":0.2574000060558319},{"id":"https://openalex.org/C108882727","wikidata":"https://www.wikidata.org/wiki/Q2991685","display_name":"Solid modeling","level":2,"score":0.2531000077724457},{"id":"https://openalex.org/C181095308","wikidata":"https://www.wikidata.org/wiki/Q1541599","display_name":"Geometric primitive","level":2,"score":0.2515000104904175}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tii.2025.3649692","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2025.3649692","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Transactions on Industrial Informatics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.40193939208984375,"display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G2396892011","display_name":null,"funder_award_id":"52275493","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6208051246","display_name":null,"funder_award_id":"52425506","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6767769032","display_name":null,"funder_award_id":"92267201","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7588867604","display_name":null,"funder_award_id":"92367301","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7614266656","display_name":null,"funder_award_id":"92160301","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":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Efficiency":[0],"is":[1,123],"crucial":[2],"for":[3,28],"primitive":[4,169],"segmentation":[5],"in":[6,32,59,71,168],"industrial":[7,189],"applications.":[8],"Previous":[9],"state-of-the-art":[10],"(SOTA)":[11],"methods":[12,158],"suffer":[13],"from":[14],"low":[15],"efficiency":[16],"due":[17],"to":[18,55,64,125,130,155],"reliance":[19],"on":[20,93,139,184],"time-consuming":[21],"feature":[22,53],"clustering.":[23],"To":[24],"circumvent":[25],"the":[26,60,66,72,86,140,143,163,175],"need":[27],"slowly":[29],"grouping":[30,70],"points":[31,57,128],"a":[33,38],"high-dimensional":[34],"space,":[35,74],"we":[36,75],"propose":[37],"fast":[39],"framework":[40],"named":[41],"PrimitiveGroup":[42],"(PG),":[43],"which":[44,84],"makes":[45],"full":[46],"use":[47],"of":[48,68,120],"spatial":[49,110],"relations":[50],"and":[51,90,99,112,142,188],"various":[52],"consistency":[54,104,119],"group":[56],"efficiently":[58],"3-D":[61,73],"space.":[62],"Moreover,":[63],"improve":[65],"accuracy":[67],"point":[69,122,186],"also":[76,116,160],"introduce":[77],"an":[78],"adaptive":[79],"long-range":[80],"offset":[81],"prediction":[82],"module":[83],"expands":[85],"neighborhood":[87],"perception":[88],"range":[89],"adaptively":[91],"focuses":[92],"those":[94],"neighborhoods":[95],"exhibiting":[96],"higher":[97],"semantic":[98,113],"instance":[100],"correlation.":[101],"A":[102],"hybrid":[103],"aggregation":[105],"that":[106,147],"considers":[107],"not":[108,149],"only":[109,150],"distance":[111],"constraints":[114],"but":[115,159],"other":[117],"geometric":[118],"each":[121],"proposed":[124],"decompose":[126],"mixed":[127],"belonging":[129],"primitives":[131],"with":[132],"overlapping":[133],"or":[134],"adjacent":[135],"centroids.":[136],"Experimental":[137],"results":[138],"ABCParts":[141],"ANSI":[144],"datasets":[145],"show":[146],"PG":[148,180],"achieves":[151,181],"competitive":[152],"performance":[153],"compared":[154],"recent":[156],"SOTA":[157],"operates":[161],"as":[162],"fastest":[164,177],"deep":[165],"learning":[166],"method":[167],"segmentation,":[170],"22":[171],"times":[172],"faster":[173],"than":[174],"existing":[176],"method.":[178],"Meanwhile,":[179],"promising":[182],"robustness":[183],"noisy":[185],"clouds":[187],"real":[190],"scans.":[191]},"counts_by_year":[],"updated_date":"2026-04-07T06:01:17.266235","created_date":"2026-01-17T00:00:00"}
