{"id":"https://openalex.org/W2016438071","doi":"https://doi.org/10.1145/2804408.2804418","title":"Evaluating the local visibility of geometric artifacts","display_name":"Evaluating the local visibility of geometric artifacts","publication_year":2015,"publication_date":"2015-09-13","ids":{"openalex":"https://openalex.org/W2016438071","doi":"https://doi.org/10.1145/2804408.2804418","mag":"2016438071"},"language":"en","primary_location":{"id":"doi:10.1145/2804408.2804418","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2804408.2804418","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","raw_type":"proceedings-article"},"type":"preprint","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/A5057104359","display_name":"Jinjiang Guo","orcid":"https://orcid.org/0000-0002-9157-2199"},"institutions":[{"id":"https://openalex.org/I100532134","display_name":"Universit\u00e9 Claude Bernard Lyon 1","ror":"https://ror.org/029brtt94","country_code":"FR","type":"education","lineage":["https://openalex.org/I100532134","https://openalex.org/I203339264"]},{"id":"https://openalex.org/I4210155607","display_name":"Laboratoire d'Informatique en Images et Syst\u00e8mes d'Information","ror":"https://ror.org/04dv4he91","country_code":"FR","type":"facility","lineage":["https://openalex.org/I100532134","https://openalex.org/I112936343","https://openalex.org/I1294671590","https://openalex.org/I188626449","https://openalex.org/I203339264","https://openalex.org/I203339264","https://openalex.org/I203339264","https://openalex.org/I203339264","https://openalex.org/I4210155607","https://openalex.org/I48430043"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Jinjiang Guo","raw_affiliation_strings":["LIRIS, Universit\u00e9 de Lyon, CNRS, France"],"affiliations":[{"raw_affiliation_string":"LIRIS, Universit\u00e9 de Lyon, CNRS, France","institution_ids":["https://openalex.org/I4210155607","https://openalex.org/I100532134","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077797776","display_name":"Vincent Vidal","orcid":"https://orcid.org/0000-0003-1680-3986"},"institutions":[{"id":"https://openalex.org/I100532134","display_name":"Universit\u00e9 Claude Bernard Lyon 1","ror":"https://ror.org/029brtt94","country_code":"FR","type":"education","lineage":["https://openalex.org/I100532134","https://openalex.org/I203339264"]},{"id":"https://openalex.org/I4210155607","display_name":"Laboratoire d'Informatique en Images et Syst\u00e8mes d'Information","ror":"https://ror.org/04dv4he91","country_code":"FR","type":"facility","lineage":["https://openalex.org/I100532134","https://openalex.org/I112936343","https://openalex.org/I1294671590","https://openalex.org/I188626449","https://openalex.org/I203339264","https://openalex.org/I203339264","https://openalex.org/I203339264","https://openalex.org/I203339264","https://openalex.org/I4210155607","https://openalex.org/I48430043"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Vincent Vidal","raw_affiliation_strings":["LIRIS, Universit\u00e9 de Lyon, CNRS, France"],"affiliations":[{"raw_affiliation_string":"LIRIS, Universit\u00e9 de Lyon, CNRS, France","institution_ids":["https://openalex.org/I4210155607","https://openalex.org/I100532134","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113504704","display_name":"Atilla Baskurt","orcid":null},"institutions":[{"id":"https://openalex.org/I4210155607","display_name":"Laboratoire d'Informatique en Images et Syst\u00e8mes d'Information","ror":"https://ror.org/04dv4he91","country_code":"FR","type":"facility","lineage":["https://openalex.org/I100532134","https://openalex.org/I112936343","https://openalex.org/I1294671590","https://openalex.org/I188626449","https://openalex.org/I203339264","https://openalex.org/I203339264","https://openalex.org/I203339264","https://openalex.org/I203339264","https://openalex.org/I4210155607","https://openalex.org/I48430043"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I100532134","display_name":"Universit\u00e9 Claude Bernard Lyon 1","ror":"https://ror.org/029brtt94","country_code":"FR","type":"education","lineage":["https://openalex.org/I100532134","https://openalex.org/I203339264"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Atilla Baskurt","raw_affiliation_strings":["LIRIS, Universit\u00e9 de Lyon, CNRS, France"],"affiliations":[{"raw_affiliation_string":"LIRIS, Universit\u00e9 de Lyon, CNRS, France","institution_ids":["https://openalex.org/I4210155607","https://openalex.org/I100532134","https://openalex.org/I1294671590"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015332851","display_name":"Guillaume Lavou\u00e9","orcid":"https://orcid.org/0000-0003-3988-6702"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210155607","display_name":"Laboratoire d'Informatique en Images et Syst\u00e8mes d'Information","ror":"https://ror.org/04dv4he91","country_code":"FR","type":"facility","lineage":["https://openalex.org/I100532134","https://openalex.org/I112936343","https://openalex.org/I1294671590","https://openalex.org/I188626449","https://openalex.org/I203339264","https://openalex.org/I203339264","https://openalex.org/I203339264","https://openalex.org/I203339264","https://openalex.org/I4210155607","https://openalex.org/I48430043"]},{"id":"https://openalex.org/I100532134","display_name":"Universit\u00e9 Claude Bernard Lyon 1","ror":"https://ror.org/029brtt94","country_code":"FR","type":"education","lineage":["https://openalex.org/I100532134","https://openalex.org/I203339264"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Guillaume Lavou\u00e9","raw_affiliation_strings":["LIRIS, Universit\u00e9 de Lyon, CNRS, France"],"affiliations":[{"raw_affiliation_string":"LIRIS, Universit\u00e9 de Lyon, CNRS, France","institution_ids":["https://openalex.org/I4210155607","https://openalex.org/I100532134","https://openalex.org/I1294671590"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5057104359"],"corresponding_institution_ids":["https://openalex.org/I100532134","https://openalex.org/I4210155607","https://openalex.org/I1294671590"],"apc_list":null,"apc_paid":null,"fwci":1.04368312,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.82694981,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"91","last_page":"98"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9983000159263611,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9983000159263611,"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/T11666","display_name":"Color Science and Applications","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10427","display_name":"Visual perception and processing mechanisms","score":0.9962999820709229,"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/visibility","display_name":"Visibility","score":0.7920835018157959},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6764764785766602},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.674633264541626},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.6579538583755493},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.6107754707336426},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5941467881202698},{"id":"https://openalex.org/keywords/curvature","display_name":"Curvature","score":0.4932660460472107},{"id":"https://openalex.org/keywords/hausdorff-distance","display_name":"Hausdorff distance","score":0.44357287883758545},{"id":"https://openalex.org/keywords/vertex","display_name":"Vertex (graph theory)","score":0.41496598720550537},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33486703038215637},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2892264127731323},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.11774986982345581},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.10902568697929382},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10403656959533691}],"concepts":[{"id":"https://openalex.org/C123403432","wikidata":"https://www.wikidata.org/wiki/Q654068","display_name":"Visibility","level":2,"score":0.7920835018157959},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6764764785766602},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.674633264541626},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.6579538583755493},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.6107754707336426},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5941467881202698},{"id":"https://openalex.org/C195065555","wikidata":"https://www.wikidata.org/wiki/Q214881","display_name":"Curvature","level":2,"score":0.4932660460472107},{"id":"https://openalex.org/C141898687","wikidata":"https://www.wikidata.org/wiki/Q1501997","display_name":"Hausdorff distance","level":2,"score":0.44357287883758545},{"id":"https://openalex.org/C80899671","wikidata":"https://www.wikidata.org/wiki/Q1304193","display_name":"Vertex (graph theory)","level":3,"score":0.41496598720550537},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33486703038215637},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2892264127731323},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.11774986982345581},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.10902568697929382},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10403656959533691},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"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/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2804408.2804418","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2804408.2804418","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","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"No poverty","id":"https://metadata.un.org/sdg/1","score":0.5600000023841858}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W240633046","https://openalex.org/W1569530544","https://openalex.org/W1581676061","https://openalex.org/W1963545760","https://openalex.org/W1975043149","https://openalex.org/W1986707602","https://openalex.org/W1990873664","https://openalex.org/W2003067321","https://openalex.org/W2006502673","https://openalex.org/W2023661891","https://openalex.org/W2042156032","https://openalex.org/W2042953108","https://openalex.org/W2054128538","https://openalex.org/W2054845756","https://openalex.org/W2079017595","https://openalex.org/W2085518012","https://openalex.org/W2087565301","https://openalex.org/W2092755522","https://openalex.org/W2093027094","https://openalex.org/W2094611063","https://openalex.org/W2101079470","https://openalex.org/W2102817897","https://openalex.org/W2132303710","https://openalex.org/W2133665775","https://openalex.org/W2134757163","https://openalex.org/W2137419625","https://openalex.org/W2141369342","https://openalex.org/W2144040585","https://openalex.org/W2153222072","https://openalex.org/W2161123186","https://openalex.org/W2162494717","https://openalex.org/W2165944364","https://openalex.org/W2166150182","https://openalex.org/W2167503995","https://openalex.org/W2235901111","https://openalex.org/W2295382923","https://openalex.org/W2999877417","https://openalex.org/W3138218344","https://openalex.org/W4211253871","https://openalex.org/W4213426196","https://openalex.org/W4243723963"],"related_works":["https://openalex.org/W2392812199","https://openalex.org/W4200176076","https://openalex.org/W598185802","https://openalex.org/W2355516524","https://openalex.org/W2361471170","https://openalex.org/W2025616642","https://openalex.org/W1954972543","https://openalex.org/W2954738200","https://openalex.org/W4220843223","https://openalex.org/W4226107239"],"abstract_inverted_index":{"Several":[0],"perceptually-based":[1,154],"quality":[2],"metrics":[3,122,155],"have":[4],"been":[5],"introduced":[6],"to":[7,52,80,98,113],"predict":[8],"the":[9,16,31,38,56,60,104,115,125,139,147,152,157],"global":[10,32,43],"impact":[11],"of":[12,19,34,59,83,103,117,127,146],"geometric":[13,119],"artifacts":[14,61],"on":[15],"visual":[17,106],"appearance":[18],"a":[20,26,64,73,143],"3D":[21,84],"model.":[22],"They":[23,108],"usually":[24],"produce":[25],"single":[27],"score":[28],"that":[29,86,131],"reflects":[30],"level":[33],"annoyance":[35],"caused":[36],"by":[37],"distortions.":[39,89],"However,":[40],"beside":[41],"this":[42,69],"information,":[44],"it":[45],"is":[46,142],"also":[47],"important":[48],"in":[49],"many":[50],"applications":[51],"obtain":[53],"information":[54],"about":[55],"local":[57,149],"visibility":[58,126],"(i.e.":[62],"estimating":[63],"localized":[65],"distortion":[66,93,150],"measure).":[67],"In":[68],"work":[70],"we":[71],"present":[72],"psychophysical":[74],"experiment":[75],"where":[76],"observers":[77],"are":[78,95],"asked":[79],"mark":[81],"areas":[82],"meshes":[85],"contain":[87],"noticeable":[88],"The":[90],"collected":[91],"per-vertex":[92],"maps":[94],"first":[96],"used":[97],"illustrate":[99],"several":[100],"perceptual":[101],"mechanisms":[102],"human":[105],"system.":[107],"then":[109],"serve":[110],"as":[111],"ground-truth":[112],"evaluate":[114],"performance":[116],"well-known":[118],"attributes":[120,133],"and":[121],"for":[123],"predicting":[124],"artifacts.":[128],"Results":[129],"show":[130],"curvature-based":[132],"demonstrate":[134],"excellent":[135],"performance.":[136],"As":[137],"expected,":[138],"Hausdorff":[140],"distance":[141],"poor":[144],"predictor":[145],"perceived":[148],"while":[151],"recent":[153],"provide":[156],"best":[158],"results.":[159]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
