{"id":"https://openalex.org/W4205768415","doi":"https://doi.org/10.1109/tim.2021.3139686","title":"Nonlocal Low-Rank Point Cloud Denoising for 3-D Measurement Surfaces","display_name":"Nonlocal Low-Rank Point Cloud Denoising for 3-D Measurement Surfaces","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4205768415","doi":"https://doi.org/10.1109/tim.2021.3139686"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2021.3139686","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2021.3139686","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","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/A5061640012","display_name":"Dingkun Zhu","orcid":"https://orcid.org/0000-0003-2447-4828"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Dingkun Zhu","raw_affiliation_strings":["School of Science and Technology, Hong Kong Metropolitan University, Hong Kong"],"affiliations":[{"raw_affiliation_string":"School of Science and Technology, Hong Kong Metropolitan University, Hong Kong","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000619646","display_name":"Honghua Chen","orcid":"https://orcid.org/0000-0001-7473-1146"},"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":"Honghua Chen","raw_affiliation_strings":["College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100342181","display_name":"Weiming Wang","orcid":"https://orcid.org/0000-0002-9068-0227"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Weiming Wang","raw_affiliation_strings":["School of Science and Technology, Hong Kong Metropolitan University, Hong Kong"],"affiliations":[{"raw_affiliation_string":"School of Science and Technology, Hong Kong Metropolitan University, Hong Kong","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013151488","display_name":"Haoran Xie","orcid":"https://orcid.org/0000-0003-0965-3617"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Haoran Xie","raw_affiliation_strings":["Lingnan University, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Lingnan University, Hong Kong","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074387667","display_name":"Gary Cheng","orcid":"https://orcid.org/0000-0002-5614-3348"},"institutions":[{"id":"https://openalex.org/I4210086892","display_name":"Education University of Hong Kong","ror":"https://ror.org/000t0f062","country_code":"HK","type":"education","lineage":["https://openalex.org/I4210086892"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Gary Cheng","raw_affiliation_strings":["The Education University of Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Education University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I4210086892"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051555459","display_name":"Mingqiang Wei","orcid":"https://orcid.org/0000-0003-0429-490X"},"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":["Shenzhen Research Institute, Nanjing University of Aeronautics and Astronautics, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Research Institute, Nanjing University of Aeronautics and Astronautics, Shenzhen, China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100384655","display_name":"Jun Wang","orcid":"https://orcid.org/0000-0001-9223-2615"},"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"],"affiliations":[{"raw_affiliation_string":"College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072482402","display_name":"Fu Lee Wang","orcid":"https://orcid.org/0000-0002-3976-0053"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fu Lee Wang","raw_affiliation_strings":["School of Science and Technology, Hong Kong Metropolitan University, Hong Kong"],"affiliations":[{"raw_affiliation_string":"School of Science and Technology, Hong Kong Metropolitan University, Hong Kong","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5061640012"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.5283,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.8328506,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"71","issue":null,"first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9973999857902527,"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"}},"topics":[{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9973999857902527,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.996999979019165,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9887999892234802,"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/point-cloud","display_name":"Point cloud","score":0.8744524717330933},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.7264134883880615},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5963236093521118},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5886187553405762},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5473672151565552},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.4890469014644623},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4841776192188263},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4671223759651184},{"id":"https://openalex.org/keywords/bilateral-filter","display_name":"Bilateral filter","score":0.4514356255531311},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.435860276222229},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.4304809868335724},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4225679337978363},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4153165817260742},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39355868101119995},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3089689612388611},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.12484875321388245},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.12204426527023315}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.8744524717330933},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.7264134883880615},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5963236093521118},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5886187553405762},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5473672151565552},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.4890469014644623},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4841776192188263},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4671223759651184},{"id":"https://openalex.org/C156140930","wikidata":"https://www.wikidata.org/wiki/Q860417","display_name":"Bilateral filter","level":3,"score":0.4514356255531311},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.435860276222229},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.4304809868335724},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4225679337978363},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4153165817260742},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39355868101119995},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3089689612388611},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.12484875321388245},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.12204426527023315},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2021.3139686","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2021.3139686","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.6600000262260437}],"awards":[{"id":"https://openalex.org/G1032954102","display_name":null,"funder_award_id":"61802072","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":58,"referenced_works":["https://openalex.org/W85656207","https://openalex.org/W1972974167","https://openalex.org/W1987113397","https://openalex.org/W1988317275","https://openalex.org/W1998572220","https://openalex.org/W2004402003","https://openalex.org/W2010473040","https://openalex.org/W2011794805","https://openalex.org/W2012876210","https://openalex.org/W2014311222","https://openalex.org/W2016533289","https://openalex.org/W2048695508","https://openalex.org/W2056370875","https://openalex.org/W2058524213","https://openalex.org/W2081897249","https://openalex.org/W2092785747","https://openalex.org/W2097073572","https://openalex.org/W2121886361","https://openalex.org/W2137531922","https://openalex.org/W2154385726","https://openalex.org/W2158361880","https://openalex.org/W2165987118","https://openalex.org/W2169611956","https://openalex.org/W2187214659","https://openalex.org/W2207282238","https://openalex.org/W2541060534","https://openalex.org/W2546714150","https://openalex.org/W2734351971","https://openalex.org/W2751646824","https://openalex.org/W2771449749","https://openalex.org/W2799893270","https://openalex.org/W2805499196","https://openalex.org/W2884154111","https://openalex.org/W2897735964","https://openalex.org/W2906788812","https://openalex.org/W2945811816","https://openalex.org/W2946113904","https://openalex.org/W2948921918","https://openalex.org/W2963315679","https://openalex.org/W2963498470","https://openalex.org/W2963515086","https://openalex.org/W2963680153","https://openalex.org/W2969633497","https://openalex.org/W3003249314","https://openalex.org/W3034261725","https://openalex.org/W3097718484","https://openalex.org/W3100203369","https://openalex.org/W3107378443","https://openalex.org/W3132164812","https://openalex.org/W3137369665","https://openalex.org/W3137466219","https://openalex.org/W3173823845","https://openalex.org/W3199992965","https://openalex.org/W4229976114","https://openalex.org/W6602535662","https://openalex.org/W6603468423","https://openalex.org/W6748863530","https://openalex.org/W6766089526"],"related_works":["https://openalex.org/W1998728244","https://openalex.org/W233850645","https://openalex.org/W2082304850","https://openalex.org/W1984713107","https://openalex.org/W4386952422","https://openalex.org/W4285172075","https://openalex.org/W2998590421","https://openalex.org/W2536791468","https://openalex.org/W2094364519","https://openalex.org/W2528120640"],"abstract_inverted_index":{"3-D":[0,23,90],"imaging":[1],"devices":[2],"(e.g.,":[3],"depth":[4],"cameras":[5],"and":[6,8,30,60,68,95,107,115,121,138,186,213,223,233],"optical":[7],"laser":[9],"scanners)":[10],"are":[11,135],"frequently":[12],"used":[13],"to":[14,34,72,88,111,149,196],"measure":[15],"outdoor/indoor":[16],"scenes.":[17],"The":[18],"measurement":[19,91],"data":[20,215],"represented":[21],"by":[22,56,168],"point":[24,39,46,52,57,83,131,184,206],"clouds":[25],"are,":[26],"however,":[27],"usually":[28],"noisy":[29,142,162],"should":[31],"be":[32],"denoised":[33,75],"facilitate":[35],"subsequent":[36],"applications.":[37],"Existing":[38],"cloud":[40,84,207],"denoising":[41,85,226],"methods":[42,227],"typically":[43],"perform:":[44],"1)":[45],"position":[47,58,66,114],"updating":[48,67],"directly":[49],"or":[50],"2)":[51],"normal":[53,69,108,116],"filtering":[54],"followed":[55],"updating,":[59],"seldom":[61],"consider":[62],"the":[63,113,129,150,153,158,161,199,202],"correlation":[64,200],"between":[65,201],"filtering,":[70],"leading":[71],"less":[73],"desirable":[74],"results.":[76],"This":[77],"article":[78],"proposes":[79],"a":[80,101,141,178,193],"nonlocal":[81,123,172],"low-rank":[82,165],"framework":[86,195],"(NL-PCD)":[87],"handle":[89],"surfaces":[92],"with":[93],"different-scale":[94],"-type":[96],"noise.":[97,154],"We":[98],"first":[99],"design":[100],"rotation-invariant":[102],"feature":[103,234],"descriptor,":[104],"called":[105],"height":[106],"patch":[109],"(HNP),":[110],"encode":[112],"information":[117],"of":[118,152,171,230],"each":[119],"point,":[120],"search":[122],"yet":[124],"geometrically":[125],"similar":[126],"HNPs":[127,134],"in":[128,192,228],"whole":[130],"cloud.":[132],"Similar":[133],"then":[136],"grouped":[137],"packed":[139],"into":[140],"matrix":[143,163,166],"which":[144],"exhibits":[145],"high":[146],"rank":[147],"due":[148],"existence":[151],"Finally,":[155],"we":[156,180],"remove":[157],"noise":[159,231],"from":[160],"through":[164],"recovery":[167],"making":[169],"use":[170],"similarities":[173],"among":[174],"HNPs.":[175],"In":[176],"such":[177],"way,":[179],"can":[181],"optimize":[182],"both":[183,221],"positions":[185],"normals":[187],"(i.e.,":[188],"dual":[189],"geometry":[190],"domains)":[191],"joint":[194],"fully":[197],"exploit":[198],"two":[203],"domains":[204],"for":[205],"denoising.":[208],"Experimental":[209],"results":[210],"on":[211],"synthetic":[212],"real-world":[214],"demonstrate":[216],"that":[217],"our":[218],"NL-PCD":[219],"outperforms":[220],"traditional":[222],"deep":[224],"learning-based":[225],"terms":[229],"removal":[232],"preservation.":[235]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":4}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}