{"id":"https://openalex.org/W2621309449","doi":"https://doi.org/10.1109/tmm.2017.2710802","title":"Saliency Detection for 3D Surface Geometry Using Semi-regular Meshes","display_name":"Saliency Detection for 3D Surface Geometry Using Semi-regular Meshes","publication_year":2017,"publication_date":"2017-06-01","ids":{"openalex":"https://openalex.org/W2621309449","doi":"https://doi.org/10.1109/tmm.2017.2710802","mag":"2621309449"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2017.2710802","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2017.2710802","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","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/A5048267904","display_name":"Se-Won Jeong","orcid":null},"institutions":[{"id":"https://openalex.org/I48566637","display_name":"Ulsan National Institute of Science and Technology","ror":"https://ror.org/017cjz748","country_code":"KR","type":"education","lineage":["https://openalex.org/I48566637"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Se-Won Jeong","raw_affiliation_strings":["School of Electrical and Computer Engineering, Ulsan National Institute of Science and Technology, Ulsan, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Ulsan National Institute of Science and Technology, Ulsan, South Korea","institution_ids":["https://openalex.org/I48566637"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073397129","display_name":"Jae-Young Sim","orcid":"https://orcid.org/0000-0003-2636-7444"},"institutions":[{"id":"https://openalex.org/I48566637","display_name":"Ulsan National Institute of Science and Technology","ror":"https://ror.org/017cjz748","country_code":"KR","type":"education","lineage":["https://openalex.org/I48566637"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jae-Young Sim","raw_affiliation_strings":["School of Electrical and Computer Engineering, Ulsan National Institute of Science and Technology, Ulsan, South Korea"],"raw_orcid":"https://orcid.org/0000-0003-2636-7444","affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Ulsan National Institute of Science and Technology, Ulsan, South Korea","institution_ids":["https://openalex.org/I48566637"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I48566637"],"apc_list":null,"apc_paid":null,"fwci":1.0823,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.85960577,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"19","issue":"12","first_page":"2692","last_page":"2705"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9993000030517578,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9993000030517578,"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":0.9986000061035156,"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":0.9983999729156494,"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/polygon-mesh","display_name":"Polygon mesh","score":0.922345757484436},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7175931930541992},{"id":"https://openalex.org/keywords/curvature","display_name":"Curvature","score":0.5965332388877869},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49771836400032043},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.48898160457611084},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4888259768486023},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4636567234992981},{"id":"https://openalex.org/keywords/visibility","display_name":"Visibility","score":0.4513007700443268},{"id":"https://openalex.org/keywords/volume-mesh","display_name":"Volume mesh","score":0.44276049733161926},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43646395206451416},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43427595496177673},{"id":"https://openalex.org/keywords/random-walk","display_name":"Random walk","score":0.41864213347435},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3685155510902405},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30701500177383423},{"id":"https://openalex.org/keywords/mesh-generation","display_name":"Mesh generation","score":0.28228795528411865},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.22383102774620056},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.15782874822616577},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.10725539922714233},{"id":"https://openalex.org/keywords/finite-element-method","display_name":"Finite element method","score":0.10638168454170227}],"concepts":[{"id":"https://openalex.org/C31487907","wikidata":"https://www.wikidata.org/wiki/Q1154597","display_name":"Polygon mesh","level":2,"score":0.922345757484436},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7175931930541992},{"id":"https://openalex.org/C195065555","wikidata":"https://www.wikidata.org/wiki/Q214881","display_name":"Curvature","level":2,"score":0.5965332388877869},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49771836400032043},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.48898160457611084},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4888259768486023},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4636567234992981},{"id":"https://openalex.org/C123403432","wikidata":"https://www.wikidata.org/wiki/Q654068","display_name":"Visibility","level":2,"score":0.4513007700443268},{"id":"https://openalex.org/C170589453","wikidata":"https://www.wikidata.org/wiki/Q7940896","display_name":"Volume mesh","level":4,"score":0.44276049733161926},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43646395206451416},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43427595496177673},{"id":"https://openalex.org/C121194460","wikidata":"https://www.wikidata.org/wiki/Q856741","display_name":"Random walk","level":2,"score":0.41864213347435},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3685155510902405},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30701500177383423},{"id":"https://openalex.org/C181145010","wikidata":"https://www.wikidata.org/wiki/Q4418033","display_name":"Mesh generation","level":3,"score":0.28228795528411865},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.22383102774620056},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.15782874822616577},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.10725539922714233},{"id":"https://openalex.org/C135628077","wikidata":"https://www.wikidata.org/wiki/Q220184","display_name":"Finite element method","level":2,"score":0.10638168454170227},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tmm.2017.2710802","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2017.2710802","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-article"},{"id":"pmh:oai:scholarworks.unist.ac.kr:201301/22214","is_oa":false,"landing_page_url":"https://scholarworks.unist.ac.kr/handle/201301/22214","pdf_url":null,"source":{"id":"https://openalex.org/S4306401118","display_name":"Scholarworks@UNIST (Ulsan National Institute of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I48566637","host_organization_name":"Ulsan National Institute of Science and Technology","host_organization_lineage":["https://openalex.org/I48566637"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"ARTICLE"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5286184238","display_name":null,"funder_award_id":"2015H1A2A1029729","funder_id":"https://openalex.org/F4320322145","funder_display_name":"Ministerul Educa\u0163iei Na\u0163ionale"},{"id":"https://openalex.org/G8728114802","display_name":null,"funder_award_id":"2016R1D1A1A09919618","funder_id":"https://openalex.org/F4320309788","funder_display_name":"Neurosciences Research Foundation"}],"funders":[{"id":"https://openalex.org/F4320309788","display_name":"Neurosciences Research Foundation","ror":"https://ror.org/05exfab56"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"},{"id":"https://openalex.org/F4320322145","display_name":"Ministerul Educa\u0163iei Na\u0163ionale","ror":"https://ror.org/00dh5gw98"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W649673299","https://openalex.org/W755194005","https://openalex.org/W1931476417","https://openalex.org/W1974742275","https://openalex.org/W1978904636","https://openalex.org/W1981228217","https://openalex.org/W1989480677","https://openalex.org/W2006502673","https://openalex.org/W2028590536","https://openalex.org/W2031335414","https://openalex.org/W2037363404","https://openalex.org/W2051448670","https://openalex.org/W2063513338","https://openalex.org/W2067646051","https://openalex.org/W2070597190","https://openalex.org/W2079525258","https://openalex.org/W2098350864","https://openalex.org/W2120588093","https://openalex.org/W2121378474","https://openalex.org/W2128272608","https://openalex.org/W2128446554","https://openalex.org/W2133772899","https://openalex.org/W2146103513","https://openalex.org/W2150669688","https://openalex.org/W2151132226","https://openalex.org/W2157554677","https://openalex.org/W2161917935","https://openalex.org/W2163324644","https://openalex.org/W2168793192","https://openalex.org/W2169632643","https://openalex.org/W2235901111","https://openalex.org/W2272596542","https://openalex.org/W2293983962","https://openalex.org/W2295382923","https://openalex.org/W2502800323","https://openalex.org/W3151546419"],"related_works":["https://openalex.org/W2017968036","https://openalex.org/W2752501457","https://openalex.org/W1601688333","https://openalex.org/W2171421712","https://openalex.org/W2187005362","https://openalex.org/W1995603760","https://openalex.org/W2387220787","https://openalex.org/W3106617480","https://openalex.org/W4221158809","https://openalex.org/W4294653043"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3,66,135,158],"unified":[4],"detection":[5,138,168],"algorithm":[6,169],"of":[7,35,46,73,97,114],"viewindependent":[8],"and":[9,121,175],"view-dependent":[10,136],"saliency":[11,39,92,124,137,154,167],"for":[12,38],"three-dimensional":[13],"mesh":[14,87],"models":[15],"is":[16],"proposed.":[17],"While":[18],"the":[19,23,28,33,43,77,85,91,94,101,107,111,118,127,142,148,153,165,184],"conventional":[20,185],"techniques":[21],"use":[22],"irregular":[24,36],"meshes,":[25,104],"we":[26,89,105,132],"adopt":[27],"semi-regular":[29,74],"meshes":[30],"to":[31,147,151,157],"overcome":[32],"drawback":[34],"connectivity":[37],"computation.":[40],"We":[41,64],"employ":[42],"angular":[44],"deviation":[45],"normal":[47],"vectors":[48],"between":[49,110],"neighboring":[50],"faces":[51],"as":[52,81,93],"geometric":[53,149,179],"curvature":[54],"features,":[55],"which":[56],"are":[57],"evaluated":[58],"at":[59,70,117],"hierarchically":[60],"structured":[61],"triangle":[62],"faces.":[63],"construct":[65],"fully":[67],"connected":[68],"graph":[69,82],"each":[71],"level":[72,103,120],"mesh,":[75],"where":[76],"face":[78],"patches":[79],"serve":[80],"nodes.":[83],"At":[84,100],"base":[86],"level,":[88],"estimate":[90,152],"stationary":[95,112],"distribution":[96,113],"random":[98,115],"walk.":[99],"higher":[102],"take":[106],"maximum":[108],"value":[109],"walk":[116],"current":[119],"an":[122],"upsampled":[123],"map":[125],"from":[126],"previous":[128],"coarser":[129],"scale.":[130],"Moreover,":[131],"also":[133],"propose":[134],"method":[139],"that":[140,164],"employs":[141],"visibility":[143],"feature":[144],"in":[145],"addition":[146],"features":[150,180],"with":[155,183],"respect":[156],"selected":[159],"viewpoint.":[160],"Experimental":[161],"results":[162],"demonstrate":[163],"proposed":[166],"captures":[170],"global":[171],"conspicuous":[172],"regions":[173],"reliably":[174],"detects":[176],"locally":[177],"detailed":[178],"faithfully,":[181],"compared":[182],"techniques.":[186]},"counts_by_year":[{"year":2026,"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":6},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}