{"id":"https://openalex.org/W4317419396","doi":"https://doi.org/10.1109/gcce56475.2022.10014108","title":"3D Point Cloud Image Instance Segmentation System Based on Hierarchical Aggregation","display_name":"3D Point Cloud Image Instance Segmentation System Based on Hierarchical Aggregation","publication_year":2022,"publication_date":"2022-10-18","ids":{"openalex":"https://openalex.org/W4317419396","doi":"https://doi.org/10.1109/gcce56475.2022.10014108"},"language":"en","primary_location":{"id":"doi:10.1109/gcce56475.2022.10014108","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcce56475.2022.10014108","pdf_url":null,"source":{"id":"https://openalex.org/S4363607800","display_name":"2022 IEEE 11th Global Conference on Consumer Electronics (GCCE)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 11th Global Conference on Consumer Electronics (GCCE)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5070665912","display_name":"Minhua Lu","orcid":"https://orcid.org/0000-0002-7050-5579"},"institutions":[{"id":"https://openalex.org/I118292597","display_name":"National Taipei University of Technology","ror":"https://ror.org/00cn92c09","country_code":"TW","type":"education","lineage":["https://openalex.org/I118292597"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Min-Hua Lu","raw_affiliation_strings":["National Taipei University of Technology,Department of Electronic Engineering,Taipei,Taiwan","Department of Electronic Engineering, National Taipei University of Technology, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Taipei University of Technology,Department of Electronic Engineering,Taipei,Taiwan","institution_ids":["https://openalex.org/I118292597"]},{"raw_affiliation_string":"Department of Electronic Engineering, National Taipei University of Technology, Taipei, Taiwan","institution_ids":["https://openalex.org/I118292597"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100356291","display_name":"Jianping Wang","orcid":"https://orcid.org/0000-0002-9318-1482"},"institutions":[{"id":"https://openalex.org/I118292597","display_name":"National Taipei University of Technology","ror":"https://ror.org/00cn92c09","country_code":"TW","type":"education","lineage":["https://openalex.org/I118292597"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jian-Ping Wang","raw_affiliation_strings":["National Taipei University of Technology,Department of Electronic Engineering,Taipei,Taiwan","Department of Electronic Engineering, National Taipei University of Technology, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Taipei University of Technology,Department of Electronic Engineering,Taipei,Taiwan","institution_ids":["https://openalex.org/I118292597"]},{"raw_affiliation_string":"Department of Electronic Engineering, National Taipei University of Technology, Taipei, Taiwan","institution_ids":["https://openalex.org/I118292597"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100321296","display_name":"Xiaomin Liu","orcid":"https://orcid.org/0000-0003-1849-9295"},"institutions":[{"id":"https://openalex.org/I118292597","display_name":"National Taipei University of Technology","ror":"https://ror.org/00cn92c09","country_code":"TW","type":"education","lineage":["https://openalex.org/I118292597"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Xiaomin Liu","raw_affiliation_strings":["National Taipei University of Technology,Department of Electronic Engineering,Taipei,Taiwan","Department of Electronic Engineering, National Taipei University of Technology, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Taipei University of Technology,Department of Electronic Engineering,Taipei,Taiwan","institution_ids":["https://openalex.org/I118292597"]},{"raw_affiliation_string":"Department of Electronic Engineering, National Taipei University of Technology, Taipei, Taiwan","institution_ids":["https://openalex.org/I118292597"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040699291","display_name":"Yu\u2010Cheng Fan","orcid":"https://orcid.org/0000-0002-9599-6415"},"institutions":[{"id":"https://openalex.org/I118292597","display_name":"National Taipei University of Technology","ror":"https://ror.org/00cn92c09","country_code":"TW","type":"education","lineage":["https://openalex.org/I118292597"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yu-Cheng Fan","raw_affiliation_strings":["National Taipei University of Technology,Department of Electronic Engineering,Taipei,Taiwan","Department of Electronic Engineering, National Taipei University of Technology, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Taipei University of Technology,Department of Electronic Engineering,Taipei,Taiwan","institution_ids":["https://openalex.org/I118292597"]},{"raw_affiliation_string":"Department of Electronic Engineering, National Taipei University of Technology, Taipei, Taiwan","institution_ids":["https://openalex.org/I118292597"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I118292597"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"418","last_page":"419"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9990000128746033,"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":0.9988999962806702,"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":0.783986508846283},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.7788382768630981},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7508810758590698},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6423715353012085},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5725827217102051},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5653570890426636},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.5587584972381592},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.5221612453460693},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5056684017181396},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.47720867395401},{"id":"https://openalex.org/keywords/hierarchical-clustering","display_name":"Hierarchical clustering","score":0.465389609336853},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.45309099555015564},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.42523249983787537},{"id":"https://openalex.org/keywords/subnetwork","display_name":"Subnetwork","score":0.42354604601860046},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.42289745807647705},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.40931257605552673},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3413592576980591},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3395611047744751},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10392224788665771}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.783986508846283},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.7788382768630981},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7508810758590698},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6423715353012085},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5725827217102051},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5653570890426636},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.5587584972381592},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.5221612453460693},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5056684017181396},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.47720867395401},{"id":"https://openalex.org/C92835128","wikidata":"https://www.wikidata.org/wiki/Q1277447","display_name":"Hierarchical clustering","level":3,"score":0.465389609336853},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.45309099555015564},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.42523249983787537},{"id":"https://openalex.org/C2780186347","wikidata":"https://www.wikidata.org/wiki/Q11414","display_name":"Subnetwork","level":2,"score":0.42354604601860046},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.42289745807647705},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40931257605552673},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3413592576980591},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3395611047744751},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10392224788665771},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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":1,"locations":[{"id":"doi:10.1109/gcce56475.2022.10014108","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcce56475.2022.10014108","pdf_url":null,"source":{"id":"https://openalex.org/S4363607800","display_name":"2022 IEEE 11th Global Conference on Consumer Electronics (GCCE)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 11th Global Conference on Consumer Electronics (GCCE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320309618","display_name":"Ministry of Science and Technology","ror":"https://ror.org/02b207r52"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2169471437","https://openalex.org/W2739701376","https://openalex.org/W2904332125","https://openalex.org/W2982051817","https://openalex.org/W2993630105","https://openalex.org/W2995182785","https://openalex.org/W3039448353"],"related_works":["https://openalex.org/W3144569342","https://openalex.org/W2185902295","https://openalex.org/W2945274617","https://openalex.org/W2372421320","https://openalex.org/W2057775483","https://openalex.org/W2041871225","https://openalex.org/W2386644571","https://openalex.org/W2387793296","https://openalex.org/W1558398159","https://openalex.org/W2371519352"],"abstract_inverted_index":{"In":[0],"this":[1,17,59],"paper,":[2],"3D":[3,29,109],"point":[4,22,47],"cloud":[5],"image":[6],"instance":[7,67],"segmentation":[8,20],"system":[9],"based":[10],"on":[11,21],"hierarchical":[12,62],"aggregation":[13,63,70,81],"is":[14,24,96],"proposed":[15],"in":[16,28],"paper.":[18],"Instance":[19],"clouds":[23],"an":[25],"important":[26],"task":[27],"scene":[30],"perception.":[31],"This":[32],"paper":[33],"applies":[34],"a":[35,76,79],"clustering-based":[36],"architecture":[37],"to":[38,55,64],"fully":[39],"exploit":[40],"the":[41,50,89,107],"spatial":[42],"relationships":[43],"of":[44,82,93],"points":[45],"and":[46,78,101],"sets.":[48],"Considering":[49],"cluster-based":[51],"methods":[52],"may":[53],"lead":[54],"over-segmentation":[56],"or":[57],"under-segmentation,":[58],"method":[60],"presents":[61],"gradually":[65],"generate":[66],"segmentation.":[68],"Point":[69],"can":[71,85],"be":[72,86],"preliminarily":[73],"clustered":[74],"into":[75],"set":[77,80],"complete":[83],"instances":[84],"generated":[87],"from":[88],"set.":[90],"The":[91],"subnetwork":[92],"intra-instance":[94],"prediction":[95],"used":[97],"for":[98],"noise":[99],"filtering":[100],"mask":[102],"quality":[103],"scoring":[104],"after":[105],"obtaining":[106],"full":[108],"instance.":[110]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
