{"id":"https://openalex.org/W1753163303","doi":"https://doi.org/10.1109/3dtv.2015.7169366","title":"Graph-based denoising for time-varying point clouds","display_name":"Graph-based denoising for time-varying point clouds","publication_year":2015,"publication_date":"2015-07-01","ids":{"openalex":"https://openalex.org/W1753163303","doi":"https://doi.org/10.1109/3dtv.2015.7169366","mag":"1753163303"},"language":"en","primary_location":{"id":"doi:10.1109/3dtv.2015.7169366","is_oa":false,"landing_page_url":"https://doi.org/10.1109/3dtv.2015.7169366","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON)","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1511.04902","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Yann Schoenenberger","orcid":null},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"Yann Schoenenberger","raw_affiliation_strings":["Ecole Polytechnique Federale de Lausanne, Lausanne, VD, CH"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ecole Polytechnique Federale de Lausanne, Lausanne, VD, CH","institution_ids":["https://openalex.org/I5124864"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Johan Paratte","orcid":null},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Johan Paratte","raw_affiliation_strings":["Ecole Poly technique F\u00e9d\u00e9rale de Lausanne, Signal Processing Laboratory (LTS2), Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ecole Poly technique F\u00e9d\u00e9rale de Lausanne, Signal Processing Laboratory (LTS2), Switzerland","institution_ids":["https://openalex.org/I5124864"]}]},{"author_position":"last","author":{"id":null,"display_name":"Pierre Vandergheynst","orcid":null},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Pierre Vandergheynst","raw_affiliation_strings":["Ecole Poly technique F\u00e9d\u00e9rale de Lausanne, Signal Processing Laboratory (LTS2), Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ecole Poly technique F\u00e9d\u00e9rale de Lausanne, Signal Processing Laboratory (LTS2), Switzerland","institution_ids":["https://openalex.org/I5124864"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I5124864"],"apc_list":null,"apc_paid":null,"fwci":0.3743,"has_fulltext":false,"cited_by_count":50,"citation_normalized_percentile":{"value":0.67314543,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9994999766349792,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9994999766349792,"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":0.9987000226974487,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9958999752998352,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.8640000224113464},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5424000024795532},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5194000005722046},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.4478999972343445},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4327999949455261},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.40549999475479126}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.8640000224113464},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5424000024795532},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5241000056266785},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5194000005722046},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4875999987125397},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4787999987602234},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.460999995470047},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.4478999972343445},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4327999949455261},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.40549999475479126},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.40119999647140503},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.3562000095844269},{"id":"https://openalex.org/C5134670","wikidata":"https://www.wikidata.org/wiki/Q1626444","display_name":"Cut","level":4,"score":0.34060001373291016},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.32600000500679016},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.30660000443458557},{"id":"https://openalex.org/C2781170535","wikidata":"https://www.wikidata.org/wiki/Q30587856","display_name":"Noisy data","level":2,"score":0.28450000286102295}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/3dtv.2015.7169366","is_oa":false,"landing_page_url":"https://doi.org/10.1109/3dtv.2015.7169366","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1511.04902","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1511.04902","pdf_url":"https://arxiv.org/pdf/1511.04902","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},{"id":"pmh:oai:infoscience.tind.io:208899","is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/208899","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"conference paper"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1511.04902","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1511.04902","pdf_url":"https://arxiv.org/pdf/1511.04902","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1774304772","https://openalex.org/W1866611211","https://openalex.org/W2061214064","https://openalex.org/W2072723786","https://openalex.org/W2092785747","https://openalex.org/W2101491865","https://openalex.org/W2114275307","https://openalex.org/W2115362620","https://openalex.org/W2129404737","https://openalex.org/W2130567155","https://openalex.org/W2143607173","https://openalex.org/W4292363360","https://openalex.org/W6629852587","https://openalex.org/W6638335058"],"related_works":[],"abstract_inverted_index":{"Noisy":[0],"3D":[1,17,59,76],"point":[2,60,77],"clouds":[3,28],"arise":[4],"in":[5],"many":[6],"applications.":[7],"They":[8],"may":[9],"be":[10,30],"due":[11],"to":[12,23,57,71],"errors":[13],"when":[14],"creating":[15],"a":[16,46],"model":[18],"from":[19,37],"images":[20],"or":[21],"simply":[22],"imprecise":[24],"depth":[25],"sensors.":[26],"Point":[27],"can":[29],"given":[31],"geometrical":[32],"structure":[33,52],"using":[34],"graphs":[35],"created":[36],"the":[38],"similarity":[39],"information":[40],"between":[41],"points.":[42],"This":[43],"paper":[44],"introduces":[45],"technique":[47],"that":[48],"uses":[49],"this":[50],"graph":[51],"and":[53],"convex":[54],"optimization":[55],"methods":[56,68],"denoise":[58],"clouds.":[61],"A":[62],"short":[63],"discussion":[64],"presents":[65],"how":[66],"those":[67],"naturally":[69],"generalize":[70],"time-varying":[72],"inputs":[73],"such":[74],"as":[75],"cloud":[78],"time":[79],"series.":[80]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2016-06-24T00:00:00"}
