乐胖代购免代理版

{"id":"https://openalex.org/W3148808479","doi":"https://doi.org/10.1109/visual.2001.964530","title":"Smooth approximation and rendering of large scattered data sets","display_name":"Smooth approximation and rendering of large scattered data sets","publication_year":2005,"publication_date":"2005-08-29","ids":{"openalex":"https://openalex.org/W3148808479","doi":"https://doi.org/10.1109/visual.2001.964530","mag":"3148808479"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/visual.2001.964530","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5073851063","display_name":"J\u00f6rg Haber","orcid":null},"institutions":[{"id":"https://openalex.org/I4210109712","display_name":"Max Planck Institute for Informatics","ror":"https://ror.org/01w19ak89","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210109712"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"J. Haber","raw_affiliation_strings":["Max Planck Institut f\u00fcr Informatik, Saarbruecken, Germany"],"affiliations":[{"raw_affiliation_string":"Max Planck Institut f\u00fcr Informatik, Saarbruecken, Germany","institution_ids":["https://openalex.org/I4210109712"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069124257","display_name":"Frank Zeilfelder","orcid":null},"institutions":[{"id":"https://openalex.org/I4210109712","display_name":"Max Planck Institute for Informatics","ror":"https://ror.org/01w19ak89","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210109712"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"F. Zeilfelder","raw_affiliation_strings":["Max Planck Institut f\u00fcr Informatik, Saarbruecken, Germany"],"affiliations":[{"raw_affiliation_string":"Max Planck Institut f\u00fcr Informatik, Saarbruecken, Germany","institution_ids":["https://openalex.org/I4210109712"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064667546","display_name":"Oleg Davydov","orcid":"https://orcid.org/0000-0001-8813-9485"},"institutions":[{"id":"https://openalex.org/I200763008","display_name":"University of Giessen","ror":"https://ror.org/033eqas34","country_code":"DE","type":"education","lineage":["https://openalex.org/I200763008"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"O. Davydov","raw_affiliation_strings":["Justus-Liebig-Universit\u00e4t Giessen, Giessen, Germany"],"affiliations":[{"raw_affiliation_string":"Justus-Liebig-Universit\u00e4t Giessen, Giessen, Germany","institution_ids":["https://openalex.org/I200763008"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058028526","display_name":"Hans\u2010Peter Seidel","orcid":"https://orcid.org/0000-0002-1343-8613"},"institutions":[{"id":"https://openalex.org/I4210109712","display_name":"Max Planck Institute for Informatics","ror":"https://ror.org/01w19ak89","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210109712"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"H.-P. Seidel","raw_affiliation_strings":["Max Planck Institut f\u00fcr Informatik, Saarbruecken, Germany"],"affiliations":[{"raw_affiliation_string":"Max Planck Institut f\u00fcr Informatik, Saarbruecken, Germany","institution_ids":["https://openalex.org/I4210109712"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.518,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":22,"citation_normalized_percentile":{"value":0.931444,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":87,"max":88},"biblio":{"volume":null,"issue":null,"first_page":"341","last_page":"571"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11245","display_name":"Advanced Numerical Analysis Techniques","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11245","display_name":"Advanced Numerical Analysis Techniques","score":1.0,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9989,"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":0.9986,"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/spline","display_name":"Spline (mechanical)","score":0.61749166},{"id":"https://openalex.org/keywords/data-point","display_name":"Data point","score":0.46666282},{"id":"https://openalex.org/keywords/real-time-rendering","display_name":"Real-time rendering","score":0.41508013}],"concepts":[{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.76826406},{"id":"https://openalex.org/C10390562","wikidata":"https://www.wikidata.org/wiki/Q581809","display_name":"Spline (mechanical)","level":2,"score":0.61749166},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5530871},{"id":"https://openalex.org/C64341305","wikidata":"https://www.wikidata.org/wiki/Q4919225","display_name":"Bivariate analysis","level":2,"score":0.53533804},{"id":"https://openalex.org/C21080849","wikidata":"https://www.wikidata.org/wiki/Q13611879","display_name":"Data point","level":2,"score":0.46666282},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4645175},{"id":"https://openalex.org/C134786449","wikidata":"https://www.wikidata.org/wiki/Q3391255","display_name":"Planar","level":2,"score":0.41694665},{"id":"https://openalex.org/C116921373","wikidata":"https://www.wikidata.org/wiki/Q2816483","display_name":"Real-time rendering","level":3,"score":0.41508013},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.41090357},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.332706},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.28241628},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.17968726},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/visual.2001.964530","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":41,"referenced_works":["https://openalex.org/W106665084","https://openalex.org/W1486818671","https://openalex.org/W1538354154","https://openalex.org/W1542048523","https://openalex.org/W1551207461","https://openalex.org/W163936060","https://openalex.org/W1776373404","https://openalex.org/W1852003777","https://openalex.org/W1966705299","https://openalex.org/W1977718889","https://openalex.org/W1990323259","https://openalex.org/W1992851154","https://openalex.org/W1996819948","https://openalex.org/W1998101624","https://openalex.org/W2001104618","https://openalex.org/W2011616847","https://openalex.org/W2017136778","https://openalex.org/W2017159917","https://openalex.org/W2024802196","https://openalex.org/W2025030349","https://openalex.org/W2026812847","https://openalex.org/W2027655363","https://openalex.org/W2035637093","https://openalex.org/W2081641698","https://openalex.org/W2087864637","https://openalex.org/W2107699930","https://openalex.org/W2109805926","https://openalex.org/W2123090765","https://openalex.org/W2150986837","https://openalex.org/W2163142993","https://openalex.org/W2236671400","https://openalex.org/W2432517183","https://openalex.org/W2988817687","https://openalex.org/W3144586438","https://openalex.org/W4233782503","https://openalex.org/W4243804002","https://openalex.org/W4246727630","https://openalex.org/W4388322023","https://openalex.org/W62200668","https://openalex.org/W763818968","https://openalex.org/W99192253"],"related_works":["https://openalex.org/W2979719962","https://openalex.org/W2377937343","https://openalex.org/W2361687461","https://openalex.org/W2350100566","https://openalex.org/W2349695707","https://openalex.org/W2125636673","https://openalex.org/W2112265557","https://openalex.org/W2103494593","https://openalex.org/W2022688099","https://openalex.org/W1994086797"],"abstract_inverted_index":{"Presents":[0],"an":[1],"efficient":[2],"method":[3,38],"to":[4,70,110],"automatically":[5],"compute":[6],"a":[7,30,158],"smooth":[8],"approximation":[9,41],"of":[10,29,49,63,78,88,97,112,117,125],"large":[11],"functional":[12],"scattered":[13,80,105],"data":[14,51,81,106],"sets":[15,107],"given":[16],"over":[17],"arbitrarily":[18],"shaped":[19],"planar":[20],"domains.":[21],"Our":[22],"approach":[23],"is":[24,83,91,124],"based":[25],"on":[26],"the":[27,50,79,85,89,94,115],"construction":[28],"C/sup":[31],"1/-continuous":[32],"bivariate":[33],"cubic":[34],"spline":[35,122,161],"and":[36,46,75,129,136,150,156],"our":[37,118,139],"offers":[39],"optimal":[40],"order.":[42],"Both":[43],"local":[44,58],"variation":[45],"nonuniform":[47],"distribution":[48],"are":[52],"taken":[53],"into":[54],"account":[55],"by":[56],"using":[57],"polynomial":[59],"least":[60],"squares":[61],"approximations":[62],"varying":[64],"degree.":[65],"Since":[66],"we":[67,141],"only":[68],"need":[69],"solve":[71],"small":[72],"linear":[73,92],"systems":[74],"no":[76],"triangulation":[77],"points":[82,113],"required,":[84],"overall":[86],"complexity":[87],"algorithm":[90],"in":[93],"total":[95],"number":[96],"points.":[98],"Numerical":[99],"examples":[100],"dealing":[101],"with":[102,108],"several":[103],"real-world":[104],"up":[109],"millions":[111],"demonstrate":[114],"efficiency":[116],"method.":[119],"The":[120],"resulting":[121],"surface":[123],"high":[126],"visual":[127],"quality":[128],"can":[130],"be":[131],"efficiently":[132],"evaluated":[133],"for":[134,146,154],"rendering":[135,157],"modeling.":[137],"In":[138],"implementation":[140],"achieve":[142],"real-time":[143],"frame":[144,152],"rates":[145,153],"typical":[147],"fly-through":[148],"sequences":[149],"interactive":[151],"recomputing":[155],"locally":[159],"modified":[160],"surface.":[162]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W3148808479","counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-01-02T02:00:44.292334","created_date":"2021-04-13"}