{"id":"https://openalex.org/W6888877333","doi":"https://doi.org/10.2312/vissym/vissym04/293-300","title":"Efficient Isosurface Tracking Using Precomputed Correspondence Table","display_name":"Efficient Isosurface Tracking Using Precomputed Correspondence Table","publication_year":2004,"publication_date":"2004-01-01","ids":{"openalex":"https://openalex.org/W6888877333","doi":"https://doi.org/10.2312/vissym/vissym04/293-300"},"language":"en","primary_location":{"id":"doi:10.2312/vissym/vissym04/293-300","is_oa":true,"landing_page_url":"https://doi.org/10.2312/vissym/vissym04/293-300","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"other","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.2312/vissym/vissym04/293-300","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Ji, Guangfeng","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Ji, Guangfeng","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Shen, Han-Wei","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shen, Han-Wei","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":null,"topics":[],"keywords":[{"id":"https://openalex.org/keywords/isosurface","display_name":"Isosurface","score":0.9878000020980835},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5856000185012817},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5795000195503235},{"id":"https://openalex.org/keywords/feature-tracking","display_name":"Feature tracking","score":0.5436999797821045},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5013999938964844},{"id":"https://openalex.org/keywords/lookup-table","display_name":"Lookup table","score":0.5001000165939331},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.475600004196167},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.43619999289512634}],"concepts":[{"id":"https://openalex.org/C45107383","wikidata":"https://www.wikidata.org/wiki/Q1311829","display_name":"Isosurface","level":3,"score":0.9878000020980835},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7523999810218811},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5856000185012817},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5795000195503235},{"id":"https://openalex.org/C2987395694","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Feature tracking","level":3,"score":0.5436999797821045},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5013999938964844},{"id":"https://openalex.org/C134835016","wikidata":"https://www.wikidata.org/wiki/Q690265","display_name":"Lookup table","level":2,"score":0.5001000165939331},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.48570001125335693},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.475600004196167},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4462999999523163},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.43619999289512634},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.43560001254081726},{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.42649999260902405},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40310001373291016},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3937999904155731},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.3319999873638153},{"id":"https://openalex.org/C77660652","wikidata":"https://www.wikidata.org/wiki/Q150971","display_name":"Computer graphics","level":2,"score":0.2992999851703644},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.2906999886035919},{"id":"https://openalex.org/C39927690","wikidata":"https://www.wikidata.org/wiki/Q11197","display_name":"Logarithm","level":2,"score":0.27410000562667847},{"id":"https://openalex.org/C42087268","wikidata":"https://www.wikidata.org/wiki/Q1886184","display_name":"Marching cubes","level":3,"score":0.2655999958515167},{"id":"https://openalex.org/C311688","wikidata":"https://www.wikidata.org/wiki/Q2393193","display_name":"Time complexity","level":2,"score":0.26489999890327454},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.2628999948501587},{"id":"https://openalex.org/C112604564","wikidata":"https://www.wikidata.org/wiki/Q7489226","display_name":"Shape analysis (program analysis)","level":3,"score":0.2597000002861023},{"id":"https://openalex.org/C57691317","wikidata":"https://www.wikidata.org/wiki/Q1289248","display_name":"Scalar (mathematics)","level":2,"score":0.25929999351501465}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2312/vissym/vissym04/293-300","is_oa":true,"landing_page_url":"https://doi.org/10.2312/vissym/vissym04/293-300","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.2312/vissym/vissym04/293-300","is_oa":true,"landing_page_url":"https://doi.org/10.2312/vissym/vissym04/293-300","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Feature":[0],"tracking":[1,57],"is":[2,113],"a":[3,105],"useful":[4],"method":[5],"for":[6],"visualizing":[7],"and":[8,22,26,128],"analyzing":[9],"time-varying":[10,55],"scalar":[11],"fields.":[12],"It":[13],"allows":[14],"scientists":[15],"to":[16,34],"focus":[17],"on":[18],"regions":[19],"of":[20,134],"interest":[21],"track":[23],"their":[24],"evolution":[25],"interaction":[27],"over":[28],"time.":[29],"To":[30],"allow":[31],"the":[32,37,60,65,70,97,115],"user":[33],"freely":[35],"explore":[36],"data":[38],"set,":[39],"features":[40],"must":[41],"be":[42,102,142],"tracked":[43,143],"in":[44,69,124,144],"an":[45,53,145],"efficient":[46,54,146],"manner.":[47],"In":[48],"this":[49],"paper,":[50],"we":[51],"present":[52],"isosurface":[56,67],"algorithm.":[58],"Unlike":[59],"previous":[61],"algorithms":[62],"which":[63],"compute":[64],"corresponding":[66,86],"components":[68],"adjacent":[71,132],"time":[72],"steps":[73],"by":[74,88],"performing":[75,89],"expensive":[76],"computation":[77],"at":[78,104,121],"run":[79],"time,":[80],"our":[81,111,138],"algorithm":[82],"can":[83,101,118,141],"rapidly":[84],"identify":[85],"isosurfaces":[87,140],"simple":[90],"table":[91],"lookup":[92,99],"operations.":[93],"This":[94],"table,":[95,100],"called":[96],"correspondence":[98,116],"computed":[103],"preprocessing":[106],"stage.":[107],"The":[108],"idea":[109],"behind":[110],"approach":[112],"that":[114],"relationship":[117],"only":[119],"change":[120],"critical":[122,135],"isovalues":[123],"R3":[125],"or":[126],"R4":[127],"remains":[129],"unchanged":[130],"between":[131],"pairs":[133],"isovalues.":[136],"With":[137],"algorithm,":[139],"manner":[147],"with":[148],"minimal":[149],"overhead.":[150]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
