{"id":"https://openalex.org/W3004602300","doi":"https://doi.org/10.1109/isse46696.2019.8984428","title":"3D Point Cloud Enhancement using Unsupervised Anomaly Detection","display_name":"3D Point Cloud Enhancement using Unsupervised Anomaly Detection","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W3004602300","doi":"https://doi.org/10.1109/isse46696.2019.8984428","mag":"3004602300"},"language":"en","primary_location":{"id":"doi:10.1109/isse46696.2019.8984428","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isse46696.2019.8984428","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Symposium on Systems Engineering (ISSE)","raw_type":"proceedings-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/A5022226119","display_name":"Yousra Regaya","orcid":"https://orcid.org/0000-0001-9859-4182"},"institutions":[{"id":"https://openalex.org/I60342839","display_name":"Qatar University","ror":"https://ror.org/00yhnba62","country_code":"QA","type":"education","lineage":["https://openalex.org/I60342839"]}],"countries":["QA"],"is_corresponding":true,"raw_author_name":"Yousra Regaya","raw_affiliation_strings":["Qatar University,Department of Computer Science and Engineering,Doha,Qatar","Department of Computer Science and Engineering, Qatar University, Doha, Qatar"],"affiliations":[{"raw_affiliation_string":"Qatar University,Department of Computer Science and Engineering,Doha,Qatar","institution_ids":["https://openalex.org/I60342839"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Qatar University, Doha, Qatar","institution_ids":["https://openalex.org/I60342839"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086614609","display_name":"Fodil Fadli","orcid":"https://orcid.org/0000-0002-7917-0939"},"institutions":[{"id":"https://openalex.org/I60342839","display_name":"Qatar University","ror":"https://ror.org/00yhnba62","country_code":"QA","type":"education","lineage":["https://openalex.org/I60342839"]}],"countries":["QA"],"is_corresponding":false,"raw_author_name":"Fodil Fadli","raw_affiliation_strings":["Qatar University,Department of Architecture and Urban Planning,Doha,Qatar","Department of Architecture and Urban Planning, Qatar University, Doha, Qatar"],"affiliations":[{"raw_affiliation_string":"Qatar University,Department of Architecture and Urban Planning,Doha,Qatar","institution_ids":["https://openalex.org/I60342839"]},{"raw_affiliation_string":"Department of Architecture and Urban Planning, Qatar University, Doha, Qatar","institution_ids":["https://openalex.org/I60342839"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042805664","display_name":"Abbes Amira","orcid":"https://orcid.org/0000-0003-1652-0492"},"institutions":[{"id":"https://openalex.org/I66943878","display_name":"De Montfort University","ror":"https://ror.org/0312pnr83","country_code":"GB","type":"education","lineage":["https://openalex.org/I66943878"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Abbes Amira","raw_affiliation_strings":["De Montfort University,Faculty of Computing,Leicester,UK","Faculty of Computing, De Montfort University, Leicester, UK"],"affiliations":[{"raw_affiliation_string":"De Montfort University,Faculty of Computing,Leicester,UK","institution_ids":["https://openalex.org/I66943878"]},{"raw_affiliation_string":"Faculty of Computing, De Montfort University, Leicester, UK","institution_ids":["https://openalex.org/I66943878"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5022226119"],"corresponding_institution_ids":["https://openalex.org/I60342839"],"apc_list":null,"apc_paid":null,"fwci":0.28,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.67706566,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.9980000257492065,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9948999881744385,"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":0.8143346905708313},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.7288722991943359},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5833122730255127},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5063279867172241},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.47362369298934937},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4692675471305847},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.4523063004016876},{"id":"https://openalex.org/keywords/graphics","display_name":"Graphics","score":0.4480401575565338},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42193490266799927},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35714200139045715},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32276463508605957},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.12704607844352722},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.08458542823791504}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8143346905708313},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.7288722991943359},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5833122730255127},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5063279867172241},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.47362369298934937},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4692675471305847},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.4523063004016876},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.4480401575565338},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42193490266799927},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35714200139045715},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32276463508605957},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.12704607844352722},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.08458542823791504}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/isse46696.2019.8984428","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isse46696.2019.8984428","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Symposium on Systems Engineering (ISSE)","raw_type":"proceedings-article"},{"id":"pmh:oai:qspace.qu.edu.qa:10576/53152","is_oa":false,"landing_page_url":"http://hdl.handle.net/10576/53152","pdf_url":null,"source":{"id":"https://openalex.org/S4306400014","display_name":"Qatar University QSpace (Qatar University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I60342839","host_organization_name":"Qatar University","host_organization_lineage":["https://openalex.org/I60342839"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.41999998688697815,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1964936552","https://openalex.org/W1987113397","https://openalex.org/W2004317138","https://openalex.org/W2010473040","https://openalex.org/W2012876210","https://openalex.org/W2017585657","https://openalex.org/W2047701894","https://openalex.org/W2053191221","https://openalex.org/W2074607607","https://openalex.org/W2105497548","https://openalex.org/W2107073819","https://openalex.org/W2121886361","https://openalex.org/W2122646361","https://openalex.org/W2134490011","https://openalex.org/W2135046489","https://openalex.org/W2140422210","https://openalex.org/W2154385726","https://openalex.org/W2157938685","https://openalex.org/W2158361880","https://openalex.org/W2169611956","https://openalex.org/W2221881085","https://openalex.org/W2271206385","https://openalex.org/W2282877949","https://openalex.org/W2296719434","https://openalex.org/W2507440827","https://openalex.org/W2588941666","https://openalex.org/W2615951199","https://openalex.org/W2617121149","https://openalex.org/W2805991560","https://openalex.org/W2890412269","https://openalex.org/W2947824698","https://openalex.org/W6651256597","https://openalex.org/W6675613107","https://openalex.org/W6737483387"],"related_works":["https://openalex.org/W3016928466","https://openalex.org/W4389574804","https://openalex.org/W2090763504","https://openalex.org/W2936725271","https://openalex.org/W3150655618","https://openalex.org/W148178222","https://openalex.org/W3108295644","https://openalex.org/W1578717197","https://openalex.org/W2626737336","https://openalex.org/W2005998065"],"abstract_inverted_index":{"3D":[0,9,43],"point":[1,44],"cloud":[2],"is":[3,12,21,46,122,149],"increasingly":[4],"getting":[5],"attention":[6],"for":[7],"perceiving":[8],"environment":[10],"which":[11,34,62,89,121],"needed":[13],"in":[14,104,118,134],"many":[15],"emerging":[16],"applications.":[17],"This":[18],"data":[19],"structure":[20],"challenging":[22],"due":[23],"to":[24,106],"its":[25,147],"characteristics":[26],"and":[27,50,67,80,100],"the":[28,31,75,91,94,108,115,119],"limitation":[29],"of":[30,39,96,114,136,162],"acquisition":[32],"step":[33],"adds":[35],"a":[36,47],"considerable":[37],"amount":[38],"noise.":[40],"Therefore,":[41],"enhancing":[42],"clouds":[45],"very":[48],"crucial":[49],"critical":[51],"step.":[52],"In":[53],"this":[54],"paper,":[55],"we":[56],"investigate":[57],"two":[58,72],"promising":[59,132],"unsupervised":[60],"techniques":[61,73,111],"are":[63,87,90],"One-Class":[64],"SVM":[65],"(OCSVM)":[66],"Isolation":[68],"Forest":[69],"(IF).":[70],"These":[71],"optimize":[74],"separation":[76],"between":[77],"relevant/normal":[78],"points":[79],"irrelevant/noisy":[81],"points.":[82],"For":[83],"evaluation,":[84],"three":[85],"metrics":[86],"computed,":[88],"processing":[92],"time,":[93],"number":[95],"detected":[97],"noisy":[98],"points,":[99],"Peak":[101],"Signal-to-Noise":[102],"(PSNR)":[103],"order":[105],"compare":[107],"both":[109],"proposed":[110],"with":[112,157],"one":[113],"recommended":[116],"filters":[117],"literature":[120],"Moving":[123],"Least":[124],"Square":[125],"(MLS)":[126],"filter.":[127],"The":[128],"obtained":[129],"results":[130],"reveal":[131],"capability":[133],"terms":[135],"effectiveness.":[137],"However,":[138],"OCSVM":[139],"technique":[140],"suffers":[141],"from":[142],"high":[143],"computational":[144],"time;":[145],"therefore,":[146],"efficiency":[148],"enhanced":[150],"using":[151],"modern":[152],"Graphics":[153],"Processing":[154],"Unit":[155],"(GPU)":[156],"an":[158],"average":[159],"rate":[160],"improvement":[161],"1.8.":[163]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}