{"id":"https://openalex.org/W1963721457","doi":"https://doi.org/10.1145/2816795.2818102","title":"Blue noise sampling using an SPH-based method","display_name":"Blue noise sampling using an SPH-based method","publication_year":2015,"publication_date":"2015-10-27","ids":{"openalex":"https://openalex.org/W1963721457","doi":"https://doi.org/10.1145/2816795.2818102","mag":"1963721457"},"language":"en","primary_location":{"id":"doi:10.1145/2816795.2818102","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2816795.2818102","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=2818102&type=pdf","source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"http://dl.acm.org/ft_gateway.cfm?id=2818102&type=pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5084874924","display_name":"Min Jiang","orcid":"https://orcid.org/0000-0002-1035-9776"},"institutions":[{"id":"https://openalex.org/I9300472","display_name":"Bournemouth University","ror":"https://ror.org/05wwcw481","country_code":"GB","type":"education","lineage":["https://openalex.org/I9300472"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Min Jiang","raw_affiliation_strings":["Bournemouth University"],"affiliations":[{"raw_affiliation_string":"Bournemouth University","institution_ids":["https://openalex.org/I9300472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031329701","display_name":"Yahan Zhou","orcid":"https://orcid.org/0000-0001-5808-2801"},"institutions":[{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yahan Zhou","raw_affiliation_strings":["University of Massachusetts Amherst","University of Massachusetts: Amherst#TAB#"],"affiliations":[{"raw_affiliation_string":"University of Massachusetts Amherst","institution_ids":["https://openalex.org/I24603500"]},{"raw_affiliation_string":"University of Massachusetts: Amherst#TAB#","institution_ids":["https://openalex.org/I24603500"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100431313","display_name":"Rui Wang","orcid":"https://orcid.org/0000-0002-7974-9510"},"institutions":[{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rui Wang","raw_affiliation_strings":["University of Massachusetts Amherst","University of Massachusetts: Amherst#TAB#"],"affiliations":[{"raw_affiliation_string":"University of Massachusetts Amherst","institution_ids":["https://openalex.org/I24603500"]},{"raw_affiliation_string":"University of Massachusetts: Amherst#TAB#","institution_ids":["https://openalex.org/I24603500"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048459025","display_name":"Richard Southern","orcid":"https://orcid.org/0000-0002-1933-3951"},"institutions":[{"id":"https://openalex.org/I9300472","display_name":"Bournemouth University","ror":"https://ror.org/05wwcw481","country_code":"GB","type":"education","lineage":["https://openalex.org/I9300472"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Richard Southern","raw_affiliation_strings":["Bournemouth University"],"affiliations":[{"raw_affiliation_string":"Bournemouth University","institution_ids":["https://openalex.org/I9300472"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074858947","display_name":"Jianjun Zhang","orcid":"https://orcid.org/0000-0002-7069-5771"},"institutions":[{"id":"https://openalex.org/I9300472","display_name":"Bournemouth University","ror":"https://ror.org/05wwcw481","country_code":"GB","type":"education","lineage":["https://openalex.org/I9300472"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jian Jun Zhang","raw_affiliation_strings":["Bournemouth University"],"affiliations":[{"raw_affiliation_string":"Bournemouth University","institution_ids":["https://openalex.org/I9300472"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5084874924"],"corresponding_institution_ids":["https://openalex.org/I9300472"],"apc_list":null,"apc_paid":null,"fwci":7.0356,"has_fulltext":true,"cited_by_count":51,"citation_normalized_percentile":{"value":0.9739857,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"34","issue":"6","first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11694","display_name":"Fluid Dynamics Simulations and Interactions","score":0.9998999834060669,"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/T11694","display_name":"Fluid Dynamics Simulations and Interactions","score":0.9998999834060669,"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/T11751","display_name":"Lattice Boltzmann Simulation Studies","score":0.9836999773979187,"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/T11382","display_name":"Fluid Dynamics and Heat Transfer","score":0.9758999943733215,"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/sampling","display_name":"Sampling (signal processing)","score":0.7435168027877808},{"id":"https://openalex.org/keywords/smoothed-particle-hydrodynamics","display_name":"Smoothed-particle hydrodynamics","score":0.7145986557006836},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6867101192474365},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5990055799484253},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5852932929992676},{"id":"https://openalex.org/keywords/colors-of-noise","display_name":"Colors of noise","score":0.5366256833076477},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4917741119861603},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.43938133120536804},{"id":"https://openalex.org/keywords/gradient-noise","display_name":"Gradient noise","score":0.41503798961639404},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3064466118812561},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24854129552841187},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.24074077606201172},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.23725152015686035},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.22148782014846802},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.13174179196357727},{"id":"https://openalex.org/keywords/noise-floor","display_name":"Noise floor","score":0.12699291110038757},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.07310110330581665},{"id":"https://openalex.org/keywords/mechanics","display_name":"Mechanics","score":0.071875661611557}],"concepts":[{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.7435168027877808},{"id":"https://openalex.org/C122564879","wikidata":"https://www.wikidata.org/wiki/Q733073","display_name":"Smoothed-particle hydrodynamics","level":2,"score":0.7145986557006836},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6867101192474365},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5990055799484253},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5852932929992676},{"id":"https://openalex.org/C114996537","wikidata":"https://www.wikidata.org/wiki/Q4854529","display_name":"Colors of noise","level":3,"score":0.5366256833076477},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4917741119861603},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.43938133120536804},{"id":"https://openalex.org/C200378446","wikidata":"https://www.wikidata.org/wiki/Q4147391","display_name":"Gradient noise","level":5,"score":0.41503798961639404},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3064466118812561},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24854129552841187},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.24074077606201172},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.23725152015686035},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.22148782014846802},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.13174179196357727},{"id":"https://openalex.org/C187612029","wikidata":"https://www.wikidata.org/wiki/Q17083130","display_name":"Noise floor","level":4,"score":0.12699291110038757},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.07310110330581665},{"id":"https://openalex.org/C57879066","wikidata":"https://www.wikidata.org/wiki/Q41217","display_name":"Mechanics","level":1,"score":0.071875661611557},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2816795.2818102","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2816795.2818102","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=2818102&type=pdf","source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","raw_type":"journal-article"},{"id":"pmh:oai:eprints.bournemouth.ac.uk:22610","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306400187","display_name":"Bournemouth University Research Online (Bournemouth University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I9300472","host_organization_name":"Bournemouth University","host_organization_lineage":["https://openalex.org/I9300472"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":{"id":"doi:10.1145/2816795.2818102","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2816795.2818102","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=2818102&type=pdf","source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1974246351","display_name":null,"funder_award_id":"IIS-1423082","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8899069216","display_name":"RI: Small: Collaborative Research: Stochastic Sampling for Rendering, Imaging, and Modeling","funder_award_id":"1423082","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1963721457.pdf","grobid_xml":"https://content.openalex.org/works/W1963721457.grobid-xml"},"referenced_works_count":54,"referenced_works":["https://openalex.org/W204546393","https://openalex.org/W810216307","https://openalex.org/W1499978535","https://openalex.org/W1674659126","https://openalex.org/W1965744692","https://openalex.org/W1967775161","https://openalex.org/W1968312755","https://openalex.org/W1980376149","https://openalex.org/W1984609374","https://openalex.org/W1984628960","https://openalex.org/W1990918780","https://openalex.org/W2004105474","https://openalex.org/W2010541107","https://openalex.org/W2016165013","https://openalex.org/W2017099978","https://openalex.org/W2020457555","https://openalex.org/W2041945014","https://openalex.org/W2044602433","https://openalex.org/W2045670663","https://openalex.org/W2046250075","https://openalex.org/W2049153601","https://openalex.org/W2066986143","https://openalex.org/W2075722563","https://openalex.org/W2079749971","https://openalex.org/W2086127053","https://openalex.org/W2087027299","https://openalex.org/W2093222011","https://openalex.org/W2099594591","https://openalex.org/W2108258756","https://openalex.org/W2114987640","https://openalex.org/W2115513040","https://openalex.org/W2115876670","https://openalex.org/W2118970948","https://openalex.org/W2121535648","https://openalex.org/W2132282325","https://openalex.org/W2134380175","https://openalex.org/W2136220107","https://openalex.org/W2141435354","https://openalex.org/W2144337074","https://openalex.org/W2150593711","https://openalex.org/W2153345666","https://openalex.org/W2153935912","https://openalex.org/W2168414272","https://openalex.org/W2616163540","https://openalex.org/W2626696598","https://openalex.org/W2911500570","https://openalex.org/W3136661314","https://openalex.org/W3137702954","https://openalex.org/W3137826879","https://openalex.org/W4232875810","https://openalex.org/W4236789552","https://openalex.org/W4237407156","https://openalex.org/W4252104256","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2594273119","https://openalex.org/W2363246369","https://openalex.org/W1988789108","https://openalex.org/W2369507939","https://openalex.org/W2170781407","https://openalex.org/W2079755857","https://openalex.org/W1965410801","https://openalex.org/W2143653262","https://openalex.org/W1665119924","https://openalex.org/W2142522650"],"abstract_inverted_index":{"We":[0,36,117,136],"propose":[1],"a":[2,19,47,79,86,145],"novel":[3],"algorithm":[4],"for":[5,60,72,154],"blue":[6,61,89,149],"noise":[7,62,90,150],"sampling":[8,68,113],"inspired":[9],"by":[10,53],"the":[11,32,57,124,131],"Smoothed":[12],"Particle":[13],"Hydrodynamics":[14],"(SPH)":[15],"method.":[16],"SPH":[17,58,125],"is":[18,108],"well-known":[20],"method":[21,59,65,83,107,142],"in":[22,41,69],"fluid":[23],"simulation":[24],"--":[25],"it":[26],"computes":[27],"particle":[28],"distributions":[29],"to":[30,100],"minimize":[31],"internal":[33],"pressure":[34],"variance.":[35],"found":[37],"that":[38,140],"this":[39],"results":[40],"sample":[42,151],"points":[43],"(i.e.,":[44],"particles)":[45],"with":[46,92,138],"high":[48],"quality":[49],"blue-noise":[50],"spectrum.":[51],"Inspired":[52],"this,":[54],"we":[55],"tailor":[56],"sampling.":[63,116],"Our":[64,106],"achieves":[66],"fast":[67,109],"general":[70],"dimensions":[71],"both":[73],"surfaces":[74],"and":[75,110,114,127,160],"volumes.":[76],"By":[77],"varying":[78],"single":[80],"parameter":[81],"our":[82,141],"can":[84,143],"generate":[85,144],"variety":[87,146],"of":[88,123,134,147],"samples":[91],"different":[93],"distribution":[94,132],"properties,":[95],"ranging":[96],"from":[97],"Lloyd's":[98],"relaxation":[99],"Capacity":[101],"Constrained":[102],"Voronoi":[103],"Tessellations":[104],"(CCVT).":[105],"supports":[111],"adaptive":[112],"multi-class":[115],"have":[118],"also":[119],"performed":[120],"experimental":[121],"studies":[122],"kernel":[126],"its":[128],"influence":[129],"on":[130],"properties":[133],"samples.":[135],"demonstrate":[137],"examples":[139],"controllable":[148],"patterns,":[152],"suitable":[153],"applications":[155],"such":[156],"as":[157],"image":[158],"stippling":[159],"re-meshing.":[161]},"counts_by_year":[{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":8},{"year":2016,"cited_by_count":8},{"year":2014,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
