{"id":"https://openalex.org/W2295382923","doi":"https://doi.org/10.1145/1073204.1073244","title":"Mesh saliency","display_name":"Mesh saliency","publication_year":2005,"publication_date":"2005-07-01","ids":{"openalex":"https://openalex.org/W2295382923","doi":"https://doi.org/10.1145/1073204.1073244","mag":"2295382923"},"language":"en","primary_location":{"id":"doi:10.1145/1073204.1073244","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1073204.1073244","pdf_url":null,"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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100731251","display_name":"Chang Ha Lee","orcid":"https://orcid.org/0000-0001-9411-3740"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chang Ha Lee","raw_affiliation_strings":["University of Maryland, College Park, MD"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Maryland, College Park, MD","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086440196","display_name":"Amitabh Varshney","orcid":"https://orcid.org/0000-0002-9873-2212"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Amitabh Varshney","raw_affiliation_strings":["University of Maryland, College Park, MD"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Maryland, College Park, MD","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108792867","display_name":"David W. Jacobs","orcid":null},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David W. Jacobs","raw_affiliation_strings":["University of Maryland, College Park, MD"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Maryland, College Park, MD","institution_ids":["https://openalex.org/I66946132"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":36.803,"has_fulltext":false,"cited_by_count":663,"citation_normalized_percentile":{"value":0.9987328,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"24","issue":"3","first_page":"659","last_page":"666"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9991999864578247,"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"}},"topics":[{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9991999864578247,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9991999864578247,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9951000213623047,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/polygon-mesh","display_name":"Polygon mesh","score":0.9079656600952148},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7342804670333862},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5994926691055298},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.598504900932312},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics","score":0.5683631896972656},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5318125486373901},{"id":"https://openalex.org/keywords/curvature","display_name":"Curvature","score":0.4960647523403168},{"id":"https://openalex.org/keywords/graphics","display_name":"Graphics","score":0.49214857816696167},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.47998353838920593},{"id":"https://openalex.org/keywords/t-vertices","display_name":"T-vertices","score":0.4578193426132202},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4449460506439209},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.42926186323165894},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.42770832777023315},{"id":"https://openalex.org/keywords/mesh-generation","display_name":"Mesh generation","score":0.30845728516578674},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26129597425460815},{"id":"https://openalex.org/keywords/finite-element-method","display_name":"Finite element method","score":0.16479256749153137},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.13999983668327332},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.0845193862915039}],"concepts":[{"id":"https://openalex.org/C31487907","wikidata":"https://www.wikidata.org/wiki/Q1154597","display_name":"Polygon mesh","level":2,"score":0.9079656600952148},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7342804670333862},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5994926691055298},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.598504900932312},{"id":"https://openalex.org/C77660652","wikidata":"https://www.wikidata.org/wiki/Q150971","display_name":"Computer graphics","level":2,"score":0.5683631896972656},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5318125486373901},{"id":"https://openalex.org/C195065555","wikidata":"https://www.wikidata.org/wiki/Q214881","display_name":"Curvature","level":2,"score":0.4960647523403168},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.49214857816696167},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.47998353838920593},{"id":"https://openalex.org/C160403270","wikidata":"https://www.wikidata.org/wiki/Q7667943","display_name":"T-vertices","level":4,"score":0.4578193426132202},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4449460506439209},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.42926186323165894},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.42770832777023315},{"id":"https://openalex.org/C181145010","wikidata":"https://www.wikidata.org/wiki/Q4418033","display_name":"Mesh generation","level":3,"score":0.30845728516578674},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26129597425460815},{"id":"https://openalex.org/C135628077","wikidata":"https://www.wikidata.org/wiki/Q220184","display_name":"Finite element method","level":2,"score":0.16479256749153137},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.13999983668327332},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.0845193862915039},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"score":0.0},{"id":"https://openalex.org/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1073204.1073244","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1073204.1073244","pdf_url":null,"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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W1497599070","https://openalex.org/W1551583610","https://openalex.org/W1572706826","https://openalex.org/W1583953270","https://openalex.org/W1626653188","https://openalex.org/W2006902234","https://openalex.org/W2011981813","https://openalex.org/W2014042258","https://openalex.org/W2015347616","https://openalex.org/W2023661891","https://openalex.org/W2030522966","https://openalex.org/W2038010077","https://openalex.org/W2038517424","https://openalex.org/W2039592758","https://openalex.org/W2060502770","https://openalex.org/W2066057304","https://openalex.org/W2075264427","https://openalex.org/W2079745210","https://openalex.org/W2089597841","https://openalex.org/W2106565381","https://openalex.org/W2107874557","https://openalex.org/W2114911182","https://openalex.org/W2120777512","https://openalex.org/W2125685777","https://openalex.org/W2128272608","https://openalex.org/W2129104643","https://openalex.org/W2131107264","https://openalex.org/W2133493855","https://openalex.org/W2138894838","https://openalex.org/W2140966579","https://openalex.org/W2141983659","https://openalex.org/W2142704880","https://openalex.org/W2143468534","https://openalex.org/W2153273516","https://openalex.org/W2160994953","https://openalex.org/W2164989680","https://openalex.org/W2168857287","https://openalex.org/W2171897506","https://openalex.org/W2235901111","https://openalex.org/W2237825899","https://openalex.org/W2240509208","https://openalex.org/W2293404936","https://openalex.org/W2956819335","https://openalex.org/W2997182471","https://openalex.org/W2999893964","https://openalex.org/W4234259615","https://openalex.org/W4301409532"],"related_works":["https://openalex.org/W2369809820","https://openalex.org/W2147278394","https://openalex.org/W2022741885","https://openalex.org/W2187005362","https://openalex.org/W156011255","https://openalex.org/W2184057547","https://openalex.org/W2108973349","https://openalex.org/W4210950568","https://openalex.org/W1542092300","https://openalex.org/W1740070153"],"abstract_inverted_index":{"Research":[0],"over":[1],"the":[2,43],"last":[3],"decade":[4],"has":[5],"built":[6],"a":[7,49,74,78,89,107,135],"solid":[8],"mathematical":[9],"foundation":[10],"for":[11,54],"representation":[12],"and":[13,20,127,159,162],"analysis":[14],"of":[15,24,33,45,51,59,91,129,139],"3D":[16,130],"meshes":[17],"in":[18,73,120,125,152],"graphics":[19,55,153],"geometric":[21,137],"modeling.":[22],"Much":[23],"this":[25,39],"work":[26],"however":[27],"does":[28],"not":[29],"explicitly":[30],"incorporate":[31],"models":[32],"low-level":[34,64],"human":[35,65],"visual":[36,66],"attention.":[37],"In":[38],"paper":[40],"we":[41],"introduce":[42],"idea":[44],"mesh":[46,71,92,116,147,157,172],"saliency":[47,60,72,93,117,148],"as":[48,102,142,156],"measure":[50,112,138],"regional":[52],"importance":[53,111],"meshes.":[56,131],"Our":[57],"notion":[58],"is":[61,94],"inspired":[62],"by":[63,114],"system":[67],"cues.":[68],"We":[69,85,144],"define":[70],"scale-dependent":[75],"manner":[76],"using":[77,134,171],"center-surround":[79],"operator":[80,118],"on":[81,106],"Gaussian-weighted":[82],"mean":[83],"curvatures.":[84],"observe":[86],"that":[87,165],"such":[88,141,155],"definition":[90],"able":[95],"to":[96,133],"capture":[97],"what":[98],"most":[99],"would":[100],"classify":[101],"visually":[103,122,167],"interesting":[104],"regions":[105],"mesh.":[108],"The":[109],"human-perception-inspired":[110],"computed":[113],"our":[115],"results":[119,124,169],"more":[121],"pleasing":[123],"processing":[126],"viewing":[128],"compared":[132],"purely":[136],"shape.":[140],"curvature.":[143],"discuss":[145],"how":[146],"can":[149],"be":[150],"incorporated":[151],"applications":[154],"simplification":[158],"viewpoint":[160],"selection":[161],"present":[163],"examples":[164],"show":[166],"appealing":[168],"from":[170],"saliency.":[173]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":18},{"year":2021,"cited_by_count":17},{"year":2020,"cited_by_count":37},{"year":2019,"cited_by_count":34},{"year":2018,"cited_by_count":27},{"year":2017,"cited_by_count":40},{"year":2016,"cited_by_count":50},{"year":2015,"cited_by_count":45},{"year":2014,"cited_by_count":37},{"year":2013,"cited_by_count":43},{"year":2012,"cited_by_count":42}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2016-06-24T00:00:00"}