{"id":"https://openalex.org/W2896671893","doi":"https://doi.org/10.1109/bigmm.2018.8499090","title":"Graph-Based Point Cloud Denoising","display_name":"Graph-Based Point Cloud Denoising","publication_year":2018,"publication_date":"2018-09-01","ids":{"openalex":"https://openalex.org/W2896671893","doi":"https://doi.org/10.1109/bigmm.2018.8499090","mag":"2896671893"},"language":"en","primary_location":{"id":"doi:10.1109/bigmm.2018.8499090","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigmm.2018.8499090","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Fourth International Conference on Multimedia Big Data (BigMM)","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/A5001650964","display_name":"Xianz Gao","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianz Gao","raw_affiliation_strings":["Institute of Computer Science & Technology, Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computer Science & Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059045087","display_name":"Wei Hu","orcid":"https://orcid.org/0000-0002-9860-0922"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Hu","raw_affiliation_strings":["Institute of Computer Science & Technology, Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computer Science & Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001396675","display_name":"Zongming Guo","orcid":"https://orcid.org/0000-0002-4944-9621"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zongming Guo","raw_affiliation_strings":["Institute of Computer Science & Technology, Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computer Science & Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":2.9203,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.95408722,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9952999949455261,"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":0.994700014591217,"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/point-cloud","display_name":"Point cloud","score":0.9062190055847168},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6821828484535217},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.6610442996025085},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.6470487117767334},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.6235539317131042},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.5732078552246094},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4961884617805481},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4898533523082733},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44907620549201965},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.44837579131126404},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3766632378101349},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2745354175567627},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.14984259009361267}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.9062190055847168},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6821828484535217},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.6610442996025085},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6470487117767334},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.6235539317131042},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.5732078552246094},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4961884617805481},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4898533523082733},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44907620549201965},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.44837579131126404},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3766632378101349},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2745354175567627},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.14984259009361267},{"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/bigmm.2018.8499090","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigmm.2018.8499090","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Fourth International Conference on Multimedia Big Data (BigMM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.8299999833106995,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1529450504","https://openalex.org/W1578099820","https://openalex.org/W1585231154","https://openalex.org/W1965106955","https://openalex.org/W1980811840","https://openalex.org/W1988317275","https://openalex.org/W2000081328","https://openalex.org/W2004402003","https://openalex.org/W2006213557","https://openalex.org/W2016285927","https://openalex.org/W2072723786","https://openalex.org/W2081194966","https://openalex.org/W2101491865","https://openalex.org/W2121947440","https://openalex.org/W2128012088","https://openalex.org/W2137221838","https://openalex.org/W2144392304","https://openalex.org/W2169611956","https://openalex.org/W2175335531","https://openalex.org/W2546714150","https://openalex.org/W2622735597","https://openalex.org/W2793293836","https://openalex.org/W3137369665","https://openalex.org/W3137466219","https://openalex.org/W3146210588","https://openalex.org/W4238138432","https://openalex.org/W6631686956","https://openalex.org/W6634702315","https://openalex.org/W6677945368","https://openalex.org/W6680153307","https://openalex.org/W6684816334","https://openalex.org/W6739017038"],"related_works":["https://openalex.org/W4244478748","https://openalex.org/W4223488648","https://openalex.org/W2134969820","https://openalex.org/W2251605416","https://openalex.org/W1997222214","https://openalex.org/W2560439919","https://openalex.org/W4389340727","https://openalex.org/W3150465815","https://openalex.org/W2802581102","https://openalex.org/W4205786897"],"abstract_inverted_index":{"3D":[0],"Point":[1],"cloud":[2,36,45,58],"data":[3],"has":[4],"attracted":[5],"attention":[6],"in":[7,55],"various":[8],"applications":[9],"such":[10],"as":[11,93],"free-view":[12],"rendering,":[13],"heritage":[14],"reconstruction":[15],"and":[16,63,70],"navigation.":[17],"However,":[18],"point":[19,35,44,57,112],"clouds":[20],"often":[21],"suffer":[22],"from":[23,26],"noise,":[24],"either":[25],"hardware":[27],"or":[28],"software":[29],"causes.":[30],"We":[31,51],"propose":[32],"an":[33,94],"efficient":[34],"denoising":[37],"approach,":[38],"where":[39],"the":[40,43,56,68,81,84,89,107,111],"geometry":[41,109],"of":[42,83,110],"is":[46],"naturally":[47],"represented":[48],"on":[49,80],"graphs.":[50],"first":[52],"divide":[53],"noise":[54,65,91],"into":[59],"two":[60],"categories:":[61],"outlier":[62],"surface":[64,90],"according":[66],"to":[67,105],"distribution,":[69],"then":[71],"remove":[72],"them":[73],"separately.":[74],"Outliers":[75],"are":[76],"firstly":[77],"removed":[78],"based":[79],"sparsity":[82],"neighborhood.":[85],"Next,":[86],"we":[87],"formulate":[88],"removal":[92],"optimization":[95],"problem":[96],"regularized":[97],"by":[98],"graph-signal":[99],"smoothness":[100],"prior,":[101],"which":[102],"essentially":[103],"tries":[104],"reconstruct":[106],"underlying":[108],"cloud.":[113],"Experimental":[114],"results":[115],"show":[116],"that":[117],"our":[118],"approach":[119],"significantly":[120],"outperforms":[121],"five":[122],"competing":[123],"methods.":[124]},"counts_by_year":[{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
