{"id":"https://openalex.org/W2150801751","doi":"https://doi.org/10.1109/visual.2005.1532835","title":"Visualizing intersecting surfaces with nested-surface techniques","display_name":"Visualizing intersecting surfaces with nested-surface techniques","publication_year":2006,"publication_date":"2006-10-11","ids":{"openalex":"https://openalex.org/W2150801751","doi":"https://doi.org/10.1109/visual.2005.1532835","mag":"2150801751"},"language":"en","primary_location":{"id":"doi:10.1109/visual.2005.1532835","is_oa":false,"landing_page_url":"https://doi.org/10.1109/visual.2005.1532835","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"VIS 05. IEEE Visualization, 2005.","raw_type":"proceedings-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/A5111410481","display_name":"C. Weigle","orcid":null},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"C. Weigle","raw_affiliation_strings":["Department of Computer Science, North Carolina State University, Chapel Hill, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, North Carolina State University, Chapel Hill, USA","institution_ids":["https://openalex.org/I137902535"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109967838","display_name":"Russell M. Taylor","orcid":null},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"R.M. Taylor","raw_affiliation_strings":["Department of Computer Science, North Carolina State University, Chapel Hill, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, North Carolina State University, Chapel Hill, USA","institution_ids":["https://openalex.org/I137902535"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5111410481"],"corresponding_institution_ids":["https://openalex.org/I137902535"],"apc_list":null,"apc_paid":null,"fwci":3.5148,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.92807549,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"503","last_page":"510"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9980000257492065,"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":0.9980000257492065,"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/T10888","display_name":"Augmented Reality Applications","score":0.9890999794006348,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9854999780654907,"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/visualization","display_name":"Visualization","score":0.6994565725326538},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6906171441078186},{"id":"https://openalex.org/keywords/surface","display_name":"Surface (topology)","score":0.5887039303779602},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.5699127316474915},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5552637577056885},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5536419749259949},{"id":"https://openalex.org/keywords/glyph","display_name":"Glyph (data visualization)","score":0.5210717916488647},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5123645067214966},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.4905547499656677},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.4330950081348419},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.2887181043624878},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18601173162460327}],"concepts":[{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.6994565725326538},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6906171441078186},{"id":"https://openalex.org/C2776799497","wikidata":"https://www.wikidata.org/wiki/Q484298","display_name":"Surface (topology)","level":2,"score":0.5887039303779602},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.5699127316474915},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5552637577056885},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5536419749259949},{"id":"https://openalex.org/C142816647","wikidata":"https://www.wikidata.org/wiki/Q5573018","display_name":"Glyph (data visualization)","level":3,"score":0.5210717916488647},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5123645067214966},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.4905547499656677},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.4330950081348419},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.2887181043624878},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18601173162460327}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/visual.2005.1532835","is_oa":false,"landing_page_url":"https://doi.org/10.1109/visual.2005.1532835","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"VIS 05. IEEE Visualization, 2005.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.6299999952316284}],"awards":[],"funders":[{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1540404222","https://openalex.org/W1823329909","https://openalex.org/W1879190769","https://openalex.org/W1975730375","https://openalex.org/W1978793871","https://openalex.org/W1987957596","https://openalex.org/W1992925132","https://openalex.org/W1993634828","https://openalex.org/W2002010034","https://openalex.org/W2030793935","https://openalex.org/W2032433722","https://openalex.org/W2039369076","https://openalex.org/W2044724418","https://openalex.org/W2060115468","https://openalex.org/W2060556621","https://openalex.org/W2060570501","https://openalex.org/W2067214004","https://openalex.org/W2069820074","https://openalex.org/W2078190896","https://openalex.org/W2091662851","https://openalex.org/W2091912311","https://openalex.org/W2107516842","https://openalex.org/W2113277443","https://openalex.org/W2114441810","https://openalex.org/W2122585444","https://openalex.org/W2124776380","https://openalex.org/W2128852435","https://openalex.org/W2131775655","https://openalex.org/W2133261461","https://openalex.org/W2135009558","https://openalex.org/W2151627177","https://openalex.org/W2954951288","https://openalex.org/W3145314891","https://openalex.org/W3147324911","https://openalex.org/W3149285339","https://openalex.org/W4241914790","https://openalex.org/W4242703582","https://openalex.org/W6638536343","https://openalex.org/W6639479222","https://openalex.org/W6650823507"],"related_works":["https://openalex.org/W2350760135","https://openalex.org/W2090371563","https://openalex.org/W1972316918","https://openalex.org/W2151948537","https://openalex.org/W4312601913","https://openalex.org/W4212776738","https://openalex.org/W2786162233","https://openalex.org/W2948259442","https://openalex.org/W2350092425","https://openalex.org/W91638230"],"abstract_inverted_index":{"This":[0,102],"paper":[1,103],"describes":[2,104],"the":[3,13,34,38,95,114,138,152,185,199,213,226],"adaptation":[4],"and":[5,41,71,94,143],"evaluation":[6],"of":[7,15,36,53,59,97,109,116,125,131,140,151,184,198,215],"existing":[8,117,141],"nested-surface":[9,118],"visualization":[10,132],"techniques":[11,77,142],"for":[12,78,191],"problem":[14],"displaying":[16],"intersecting":[17,110,162],"surfaces.":[18,101],"For":[19],"this":[20],"work,":[21],"we":[22],"collaborated":[23],"with":[24,33],"a":[25,46,105,128,144,174,179,230],"neurosurgeon":[26],"who":[27],"is":[28],"comparing":[29,67,80],"multiple":[30,81],"tumor":[31],"segmentations":[32],"goal":[35],"increasing":[37],"segmentation":[39],"accuracy":[40],"reliability.":[42],"A":[43],"second":[44,186],"collaborator,":[45],"physicist,":[47],"aims":[48],"to":[49,127,173,208],"validate":[50],"geometric":[51,107],"models":[52],"specimens":[54],"against":[55],"atomic-force":[56],"microscope":[57],"images":[58],"actual":[60],"specimens.":[61],"These":[62],"collaborators":[63],"are":[64],"interested":[65],"in":[66,218],"both":[68],"surface":[69,194],"shape":[70,227],"inter-surface":[72,92,166,216],"distances.":[73],"Many":[74],"commonly":[75],"employed":[76],"visually":[79],"surfaces":[82,111,163],"(side-by-side,":[83],"wireframe,":[84],"colormaps,":[85],"uniform":[86],"translucence)":[87],"do":[88],"not":[89],"simultaneously":[90],"convey":[91,165],"distance":[93,167,172,217],"shapes":[96],"two":[98],"or":[99],"more":[100],"simple":[106,231],"partitioning":[108],"that":[112,157,204],"enables":[113],"application":[115],"techniques,":[119],"such":[120],"as":[121],"texture-modulated":[122],"translucent":[123],"rendering":[124],"exteriors,":[126],"broader":[129],"range":[130],"problems.":[133],"Three":[134],"user":[135,154,201],"studies":[136],"investigate":[137],"performance":[139],"new":[145],"shadow-casting":[146],"glyph":[147],"technique.":[148],"The":[149,182,196],"results":[150,183,190,197],"first":[153],"study":[155,187,202],"show":[156,188,203],"texture":[158,209],"glyphs":[159,210],"on":[160,178],"partitioned,":[161],"can":[164,211,222],"better":[168],"than":[169],"directly":[170],"mapping":[171],"red-gray-blue":[175],"color":[176],"scale":[177],"single":[180],"surface.":[181],"similar":[189],"conveying":[192],"local":[193],"orientation.":[195],"third":[200],"adding":[205],"cast":[206],"shadows":[207],"increase":[212],"understanding":[214],"static":[219],"images,":[220],"but":[221],"be":[223],"overpowered":[224],"by":[225],"cues":[228],"from":[229],"rocking":[232],"motion.":[233]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2014,"cited_by_count":3},{"year":2012,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}