{"id":"https://openalex.org/W4224009612","doi":"https://doi.org/10.1109/lifetech53646.2022.9754862","title":"3D Point-cloud Segmentation System Based on AI Model","display_name":"3D Point-cloud Segmentation System Based on AI Model","publication_year":2022,"publication_date":"2022-03-07","ids":{"openalex":"https://openalex.org/W4224009612","doi":"https://doi.org/10.1109/lifetech53646.2022.9754862"},"language":"en","primary_location":{"id":"doi:10.1109/lifetech53646.2022.9754862","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lifetech53646.2022.9754862","pdf_url":null,"source":{"id":"https://openalex.org/S4363607953","display_name":"2022 IEEE 4th Global Conference on Life Sciences and Technologies (LifeTech)","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 4th Global Conference on Life Sciences and Technologies (LifeTech)","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/A5072149250","display_name":"Kuan-Yu Liao","orcid":null},"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":"Kuan-Yu Liao","raw_affiliation_strings":["National Taipei University of Technology,Department of Electronic Engineering,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"]}]},{"author_position":"middle","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"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Taipei University of Technology,Department of Electronic Engineering,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"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Taipei University of Technology,Department of Electronic Engineering,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":0.6608,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.74345189,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"433","last_page":"434"},"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9980000257492065,"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"}},{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9973999857902527,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7713575959205627},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.7705130577087402},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.6097258925437927},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6024830341339111},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6010763645172119},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5908723473548889},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.5645976662635803},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5428741574287415},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4496758282184601},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.44326525926589966},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.42106306552886963},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3895522356033325}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7713575959205627},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.7705130577087402},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.6097258925437927},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6024830341339111},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6010763645172119},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5908723473548889},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.5645976662635803},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5428741574287415},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4496758282184601},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.44326525926589966},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.42106306552886963},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3895522356033325},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lifetech53646.2022.9754862","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lifetech53646.2022.9754862","pdf_url":null,"source":{"id":"https://openalex.org/S4363607953","display_name":"2022 IEEE 4th Global Conference on Life Sciences and Technologies (LifeTech)","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 4th Global Conference on Life Sciences and Technologies (LifeTech)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.6200000047683716}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2135406167","https://openalex.org/W2460657278","https://openalex.org/W2560609797","https://openalex.org/W2739701376","https://openalex.org/W2963226018","https://openalex.org/W2963281829","https://openalex.org/W2990613095","https://openalex.org/W2993630105","https://openalex.org/W3012494314","https://openalex.org/W3034482224","https://openalex.org/W6679798347","https://openalex.org/W6763422710"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W2936725271","https://openalex.org/W3016928466","https://openalex.org/W3150655618","https://openalex.org/W2626737336","https://openalex.org/W2005998065","https://openalex.org/W2562256921","https://openalex.org/W2979603868","https://openalex.org/W2964954556","https://openalex.org/W3019910406"],"abstract_inverted_index":{"With":[0],"the":[1,20,38,66,83,94,98],"rapid":[2],"development":[3,21],"of":[4,9,22,41,59],"technology,":[5],"big":[6],"data,":[7],"Internet":[8],"Things,":[10],"and":[11,32,51,63,77,89],"deep":[12,27],"learning":[13,28],"technologies":[14],"are":[15],"gradually":[16],"developing,":[17],"among":[18],"which":[19],"2-D":[23],"image":[24,39],"recognition":[25,40],"in":[26,97],"is":[29,44],"becoming":[30],"more":[31,33],"mature.":[34],"For":[35],"these":[36],"reasons,":[37],"3D":[42,60],"point-cloud":[43,52,61],"still":[45],"under":[46],"development.":[47],"We":[48],"combine":[49,65],"projection":[50],"algorithms":[53],"for":[54,74],"large":[55],"scale":[56],"semantic":[57],"segmentation":[58],"images,":[62],"then":[64],"new":[67],"neural":[68,99],"network":[69,100],"based":[70,101,109],"on":[71,102,110],"\"Local":[72],"Flattening":[73],"Point":[75],"Convolution\"":[76],"\"Random":[78],"Sampling":[79],"Network\"":[80],"to":[81],"lighten":[82],"model":[84],"by":[85],"using":[86],"depth-separable":[87],"convolution":[88],"quantization.":[90],"Finally,":[91],"we":[92],"implement":[93],"convolutional":[95],"layers":[96],"a":[103,111],"digital":[104],"integrated":[105],"circuit":[106],"design":[107],"flow":[108],"standard":[112],"cell":[113],"library.":[114]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}