{"id":"https://openalex.org/W2025922793","doi":"https://doi.org/10.1145/2077451.2077462","title":"Visualization of uncertain scalar data fields using color scales and perceptually adapted noise","display_name":"Visualization of uncertain scalar data fields using color scales and perceptually adapted noise","publication_year":2011,"publication_date":"2011-08-27","ids":{"openalex":"https://openalex.org/W2025922793","doi":"https://doi.org/10.1145/2077451.2077462","mag":"2025922793"},"language":"en","primary_location":{"id":"doi:10.1145/2077451.2077462","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2077451.2077462","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM SIGGRAPH Symposium on Applied Perception in Graphics and Visualization","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://inria.hal.science/inria-00600161","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5073978648","display_name":"Alexandre Coninx","orcid":"https://orcid.org/0000-0001-7992-8183"},"institutions":[{"id":"https://openalex.org/I4210149092","display_name":"Laboratoire Jean Kuntzmann","ror":"https://ror.org/04ett5b41","country_code":"FR","type":"facility","lineage":["https://openalex.org/I106785703","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I4210149092","https://openalex.org/I899635006","https://openalex.org/I899635006"]},{"id":"https://openalex.org/I899635006","display_name":"Universit\u00e9 Grenoble Alpes","ror":"https://ror.org/02rx3b187","country_code":"FR","type":"education","lineage":["https://openalex.org/I899635006"]},{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en informatique et en automatique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Alexandre Coninx","raw_affiliation_strings":["LJK - Grenoble University - INRIA"],"affiliations":[{"raw_affiliation_string":"LJK - Grenoble University - INRIA","institution_ids":["https://openalex.org/I899635006","https://openalex.org/I1326498283","https://openalex.org/I4210149092"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089912211","display_name":"Georges\u2010Pierre Bonneau","orcid":"https://orcid.org/0000-0002-2872-3580"},"institutions":[{"id":"https://openalex.org/I4210149092","display_name":"Laboratoire Jean Kuntzmann","ror":"https://ror.org/04ett5b41","country_code":"FR","type":"facility","lineage":["https://openalex.org/I106785703","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I4210149092","https://openalex.org/I899635006","https://openalex.org/I899635006"]},{"id":"https://openalex.org/I899635006","display_name":"Universit\u00e9 Grenoble Alpes","ror":"https://ror.org/02rx3b187","country_code":"FR","type":"education","lineage":["https://openalex.org/I899635006"]},{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en informatique et en automatique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Georges-Pierre Bonneau","raw_affiliation_strings":["LJK - Grenoble University - INRIA"],"affiliations":[{"raw_affiliation_string":"LJK - Grenoble University - INRIA","institution_ids":["https://openalex.org/I899635006","https://openalex.org/I1326498283","https://openalex.org/I4210149092"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031610889","display_name":"Jacques Droulez","orcid":null},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I187986737","display_name":"Coll\u00e8ge de France","ror":"https://ror.org/04ex24z53","country_code":"FR","type":"education","lineage":["https://openalex.org/I187986737"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jacques Droulez","raw_affiliation_strings":["LPPA - CNRS - Coll\u00e8ge de France"],"affiliations":[{"raw_affiliation_string":"LPPA - CNRS - Coll\u00e8ge de France","institution_ids":["https://openalex.org/I187986737","https://openalex.org/I1294671590"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089529308","display_name":"Guillaume Thibault","orcid":"https://orcid.org/0000-0002-5294-9184"},"institutions":[{"id":"https://openalex.org/I187986737","display_name":"Coll\u00e8ge de France","ror":"https://ror.org/04ex24z53","country_code":"FR","type":"education","lineage":["https://openalex.org/I187986737"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Guillaume Thibault","raw_affiliation_strings":["LPPA - CNRS - Coll\u00e8ge de France"],"affiliations":[{"raw_affiliation_string":"LPPA - CNRS - Coll\u00e8ge de France","institution_ids":["https://openalex.org/I187986737","https://openalex.org/I1294671590"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5073978648"],"corresponding_institution_ids":["https://openalex.org/I1326498283","https://openalex.org/I4210149092","https://openalex.org/I899635006"],"apc_list":null,"apc_paid":null,"fwci":2.3182,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.90250479,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"59","last_page":"66"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9902999997138977,"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/T10799","display_name":"Data Visualization and Analytics","score":0.9902999997138977,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.979200005531311,"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/T10427","display_name":"Visual perception and processing mechanisms","score":0.972100019454956,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6858590245246887},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6496660709381104},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.6270637512207031},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.5249162316322327},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.5163275599479675},{"id":"https://openalex.org/keywords/scalar","display_name":"Scalar (mathematics)","score":0.5152668952941895},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.4993016719818115},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47940966486930847},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.46222010254859924},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.4534977376461029},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.45246434211730957},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.42306575179100037},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4204915165901184},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35644930601119995},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.254550039768219},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.25397321581840515},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.08232524991035461}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6858590245246887},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6496660709381104},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.6270637512207031},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.5249162316322327},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.5163275599479675},{"id":"https://openalex.org/C57691317","wikidata":"https://www.wikidata.org/wiki/Q1289248","display_name":"Scalar (mathematics)","level":2,"score":0.5152668952941895},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.4993016719818115},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47940966486930847},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.46222010254859924},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.4534977376461029},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.45246434211730957},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.42306575179100037},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4204915165901184},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35644930601119995},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.254550039768219},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.25397321581840515},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.08232524991035461},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2077451.2077462","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2077451.2077462","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM SIGGRAPH Symposium on Applied Perception in Graphics and Visualization","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:inria-00600161v2","is_oa":true,"landing_page_url":"https://inria.hal.science/inria-00600161","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ACM SIGGRAPH Symposium on Applied Perception in Graphics and Visualization (APGV), SIGGRAPH, Aug 2011, Toulouse, France. pp.59-66, &#x27E8;10.1145/2077451.2077462&#x27E9;","raw_type":"Conference papers"}],"best_oa_location":{"id":"pmh:oai:HAL:inria-00600161v2","is_oa":true,"landing_page_url":"https://inria.hal.science/inria-00600161","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ACM SIGGRAPH Symposium on Applied Perception in Graphics and Visualization (APGV), SIGGRAPH, Aug 2011, Toulouse, France. pp.59-66, &#x27E8;10.1145/2077451.2077462&#x27E9;","raw_type":"Conference papers"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W105489431","https://openalex.org/W355425508","https://openalex.org/W1498053278","https://openalex.org/W1533882212","https://openalex.org/W1571597376","https://openalex.org/W1598256617","https://openalex.org/W1966832848","https://openalex.org/W1972641242","https://openalex.org/W1976692340","https://openalex.org/W1978407724","https://openalex.org/W1987227582","https://openalex.org/W1990419021","https://openalex.org/W1991383796","https://openalex.org/W1998896459","https://openalex.org/W1999908130","https://openalex.org/W2019433909","https://openalex.org/W2028211488","https://openalex.org/W2029826041","https://openalex.org/W2044456223","https://openalex.org/W2044724418","https://openalex.org/W2049043328","https://openalex.org/W2053895730","https://openalex.org/W2071392461","https://openalex.org/W2094366928","https://openalex.org/W2130875484","https://openalex.org/W2159401652","https://openalex.org/W2159723220","https://openalex.org/W2166278041","https://openalex.org/W2167553001","https://openalex.org/W2169216879","https://openalex.org/W2178948257","https://openalex.org/W2336763592","https://openalex.org/W4236443542","https://openalex.org/W6635882326"],"related_works":["https://openalex.org/W2069592018","https://openalex.org/W2075740387","https://openalex.org/W2358990940","https://openalex.org/W2093931120","https://openalex.org/W2329812990","https://openalex.org/W2349116365","https://openalex.org/W3021708704","https://openalex.org/W2004231473","https://openalex.org/W2060895226","https://openalex.org/W4281258283"],"abstract_inverted_index":{"We":[0,72,100],"present":[1],"a":[2,58,66],"new":[3],"method":[4,111],"to":[5,35,47,86],"visualize":[6],"uncertain":[7],"scalar":[8],"data":[9,41,118],"fields":[10],"by":[11,31],"combining":[12],"color":[13,115],"scale":[14],"visualization":[15],"techniques":[16],"with":[17,112],"animated,":[18],"perceptually":[19],"adapted":[20],"Perlin":[21,27,69],"noise.":[22],"The":[23],"parameters":[24],"of":[25,52,61,68,90,98,109],"the":[26,32,50,53,88,91,104,107],"noise":[28,54,70,93],"are":[29],"controlled":[30],"uncertainty":[33,92],"information":[34],"produce":[36],"animated":[37],"patterns":[38,94],"showing":[39],"local":[40],"value":[42],"and":[43,74,102,106,117],"quality.":[44],"In":[45],"order":[46],"precisely":[48],"control":[49],"perception":[51,89],"patterns,":[55],"we":[56],"perform":[57],"psychophysical":[59],"evaluation":[60,77],"contrast":[62],"sensitivity":[63],"thresholds":[64],"for":[65,95],"set":[67],"stimuli.":[71],"validate":[73],"extend":[75],"this":[76],"using":[78],"an":[79],"existing":[80],"computational":[81],"model.":[82],"This":[83],"allows":[84],"us":[85],"predict":[87],"arbitrary":[96],"choices":[97],"parameters.":[99],"demonstrate":[101],"discuss":[103],"efficiency":[105],"benefits":[108],"our":[110],"various":[113],"settings,":[114],"maps":[116],"sets.":[119]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
