{"id":"https://openalex.org/W3170687404","doi":"https://doi.org/10.1109/indin45582.2020.9442076","title":"Point Cloud Simplification based on Decomposed Graph Filtering","display_name":"Point Cloud Simplification based on Decomposed Graph Filtering","publication_year":2020,"publication_date":"2020-07-20","ids":{"openalex":"https://openalex.org/W3170687404","doi":"https://doi.org/10.1109/indin45582.2020.9442076","mag":"3170687404"},"language":"en","primary_location":{"id":"doi:10.1109/indin45582.2020.9442076","is_oa":false,"landing_page_url":"https://doi.org/10.1109/indin45582.2020.9442076","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 18th International Conference on Industrial Informatics (INDIN)","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/A5040786145","display_name":"Yan Zeng","orcid":"https://orcid.org/0000-0002-1474-0873"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Zeng","raw_affiliation_strings":["College of Automation, Chongqing University, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Automation, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086911362","display_name":"Zhou Wu","orcid":"https://orcid.org/0000-0002-8980-4210"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhou Wu","raw_affiliation_strings":["College of Automation, Chongqing University, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Automation, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001079640","display_name":"Jiepeng Liu","orcid":"https://orcid.org/0000-0002-4485-6420"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiepeng Liu","raw_affiliation_strings":["College of Civil Engineering, Chongqing University, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Civil Engineering, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051395807","display_name":"Liang Feng","orcid":"https://orcid.org/0000-0002-8356-7242"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Feng","raw_affiliation_strings":["College of Computer Science, Chongqing University, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I158842170"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"725","last_page":"728"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9990000128746033,"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":0.9990000128746033,"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":0.9943000078201294,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9805999994277954,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7378886938095093},{"id":"https://openalex.org/keywords/resampling","display_name":"Resampling","score":0.601660966873169},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.5986540913581848},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5553109049797058},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.5470101833343506},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.45378610491752625},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4486645460128784},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4339137673377991},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4011300802230835},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31212201714515686},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.08969482779502869}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7378886938095093},{"id":"https://openalex.org/C150921843","wikidata":"https://www.wikidata.org/wiki/Q1170431","display_name":"Resampling","level":2,"score":0.601660966873169},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.5986540913581848},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5553109049797058},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.5470101833343506},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.45378610491752625},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4486645460128784},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4339137673377991},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4011300802230835},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31212201714515686},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.08969482779502869},{"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/indin45582.2020.9442076","is_oa":false,"landing_page_url":"https://doi.org/10.1109/indin45582.2020.9442076","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 18th International Conference on Industrial Informatics (INDIN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1907886551","https://openalex.org/W1974496764","https://openalex.org/W1991252559","https://openalex.org/W2005794784","https://openalex.org/W2053074065","https://openalex.org/W2137151237","https://openalex.org/W2137531922","https://openalex.org/W2137985019","https://openalex.org/W2158361880","https://openalex.org/W2395028581","https://openalex.org/W2408276481","https://openalex.org/W2558294288","https://openalex.org/W2591997370","https://openalex.org/W2763562568","https://openalex.org/W2774634965","https://openalex.org/W2802591237","https://openalex.org/W2913109850","https://openalex.org/W2949302344","https://openalex.org/W2966062461","https://openalex.org/W3133793101","https://openalex.org/W3150224893","https://openalex.org/W6651521532"],"related_works":["https://openalex.org/W2052515325","https://openalex.org/W2050948537","https://openalex.org/W2767646790","https://openalex.org/W2352041579","https://openalex.org/W1488006380","https://openalex.org/W2138381686","https://openalex.org/W2141585124","https://openalex.org/W1998176685","https://openalex.org/W3123883311","https://openalex.org/W2032175896"],"abstract_inverted_index":{"Recent":[0],"studies":[1],"on":[2,46,62,104],"three-dimensional(3D)":[3],"point":[4,76],"cloud":[5,77],"data":[6],"(PCD)":[7],"simplification":[8,24,43],"have":[9],"played":[10],"significant":[11],"roles":[12],"in":[13],"computer-aided":[14],"models":[15],"for":[16,29],"alleviating":[17],"computational":[18],"and":[19,65,90,113],"storage":[20],"burden.":[21],"However,":[22],"existing":[23],"methods":[25],"are":[26],"not":[27],"suitable":[28],"the":[30,69,73,85,111,116],"large-scale":[31],"PCD":[32],"with":[33,94],"even":[34],"billions":[35],"of":[36,55,87,115],"points.":[37],"In":[38,72],"this":[39],"paper,":[40],"a":[41],"decomposed":[42,91],"method":[44,59],"based":[45,61],"graph":[47,92],"filter":[48],"is":[49,60,78,98,102],"developed":[50],"to":[51,84],"extract":[52],"Haar-like":[53],"feature":[54],"PCD.":[56],"The":[57],"new":[58],"divide-and-conquer":[63],"philosophy":[64],"thus":[66],"effectively":[67],"reduce":[68],"memory":[70],"usage.":[71],"proposed":[74,117],"approach,":[75],"divided":[79],"into":[80],"several":[81],"subsets":[82],"according":[83],"relationship":[86],"natural":[88],"neighbor,":[89],"filtering":[93],"adaptive":[95],"resampling":[96],"rate":[97],"designed.":[99],"Validation":[100],"experiment":[101],"conducted":[103],"large":[105],"scale":[106],"PCD,":[107],"which":[108],"could":[109],"indicate":[110],"effectiveness":[112],"feasibility":[114],"approach.":[118]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}