{"id":"https://openalex.org/W4256614033","doi":"https://doi.org/10.1109/tdpvt.2004.1335196","title":"An easy viewer for out-of-core visualization of huge point-sampled models","display_name":"An easy viewer for out-of-core visualization of huge point-sampled models","publication_year":2004,"publication_date":"2004-11-08","ids":{"openalex":"https://openalex.org/W4256614033","doi":"https://doi.org/10.1109/tdpvt.2004.1335196"},"language":"en","primary_location":{"id":"doi:10.1109/tdpvt.2004.1335196","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tdpvt.2004.1335196","pdf_url":null,"source":{"id":"https://openalex.org/S4363608708","display_name":"Proceedings. 2nd International Symposium on 3D Data Processing, Visualization and Transmission, 2004. 3DPVT 2004.","issn_l":null,"issn":null,"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. 2nd International Symposium on 3D Data Processing, Visualization and Transmission, 2004. 3DPVT 2004.","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/A5109575767","display_name":"Fang Meng","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fang Meng","raw_affiliation_strings":["National Laboratory on Machine Perception, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Laboratory on Machine Perception, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017031914","display_name":"Hongbin Zha","orcid":"https://orcid.org/0000-0001-5860-4673"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongbin Zha","raw_affiliation_strings":["National Laboratory on Machine Perception, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Laboratory on Machine Perception, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5109575767"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":0.4226,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.69354839,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"19","issue":null,"first_page":"207","last_page":"214"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11195","display_name":"Simulation Techniques and Applications","score":0.5231999754905701,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11195","display_name":"Simulation Techniques and Applications","score":0.5231999754905701,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.484499990940094,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8480731248855591},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.7109652757644653},{"id":"https://openalex.org/keywords/out-of-core-algorithm","display_name":"Out-of-core algorithm","score":0.6394588351249695},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.5458595752716064},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5216389298439026},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.46584710478782654},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.4607786536216736},{"id":"https://openalex.org/keywords/parallel-rendering","display_name":"Parallel rendering","score":0.4470858871936798},{"id":"https://openalex.org/keywords/scrolling","display_name":"Scrolling","score":0.43796902894973755},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.4310370683670044},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.27833133935928345},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.26029378175735474},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.17049074172973633}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8480731248855591},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.7109652757644653},{"id":"https://openalex.org/C79470037","wikidata":"https://www.wikidata.org/wiki/Q279748","display_name":"Out-of-core algorithm","level":2,"score":0.6394588351249695},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.5458595752716064},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5216389298439026},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.46584710478782654},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.4607786536216736},{"id":"https://openalex.org/C186772499","wikidata":"https://www.wikidata.org/wiki/Q7135017","display_name":"Parallel rendering","level":3,"score":0.4470858871936798},{"id":"https://openalex.org/C59046462","wikidata":"https://www.wikidata.org/wiki/Q181319","display_name":"Scrolling","level":2,"score":0.43796902894973755},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.4310370683670044},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.27833133935928345},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26029378175735474},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.17049074172973633},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tdpvt.2004.1335196","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tdpvt.2004.1335196","pdf_url":null,"source":{"id":"https://openalex.org/S4363608708","display_name":"Proceedings. 2nd International Symposium on 3D Data Processing, Visualization and Transmission, 2004. 3DPVT 2004.","issn_l":null,"issn":null,"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. 2nd International Symposium on 3D Data Processing, Visualization and Transmission, 2004. 3DPVT 2004.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W196786331","https://openalex.org/W1565302540","https://openalex.org/W1595752182","https://openalex.org/W1986049249","https://openalex.org/W1994315092","https://openalex.org/W2049945965","https://openalex.org/W2058598896","https://openalex.org/W2067405352","https://openalex.org/W2071224029","https://openalex.org/W2107874557","https://openalex.org/W2115515293","https://openalex.org/W2116789748","https://openalex.org/W2131306092","https://openalex.org/W2134965981","https://openalex.org/W2136180211","https://openalex.org/W2149384160","https://openalex.org/W2155731050","https://openalex.org/W2165017100","https://openalex.org/W2795173078","https://openalex.org/W2963779794","https://openalex.org/W2997211793","https://openalex.org/W3141857971","https://openalex.org/W3146052257","https://openalex.org/W3146477369","https://openalex.org/W3149364623","https://openalex.org/W3150224893","https://openalex.org/W3152073007","https://openalex.org/W3179577541","https://openalex.org/W4248020564","https://openalex.org/W6608069061","https://openalex.org/W6635661358","https://openalex.org/W6677357124","https://openalex.org/W6679500138","https://openalex.org/W6680045216","https://openalex.org/W6682040348","https://openalex.org/W6766533645","https://openalex.org/W6798179417"],"related_works":["https://openalex.org/W2788907676","https://openalex.org/W4301080527","https://openalex.org/W2147897370","https://openalex.org/W1552410400","https://openalex.org/W1584221395","https://openalex.org/W2160564728","https://openalex.org/W2075415433","https://openalex.org/W4206216094","https://openalex.org/W2075989522","https://openalex.org/W2148742069"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,25,57,100],"viewer":[3,18,117],"for":[4,32,47],"huge":[5,48,123],"point-sampled":[6],"models":[7,125],"by":[8,89],"combining":[9],"out-of-core":[10,59],"technologies":[11],"with":[12,130],"view-dependent":[13,110],"level-of-detail":[14],"(LOD)":[15],"control.":[16],"This":[17],"is":[19,74,105],"designed":[20],"on":[21,51,126],"the":[22,71,96,109,116],"basis":[23],"of":[24,37,64,122],"multiresolution":[26],"data":[27,72,101],"structure":[28],"we":[29,55],"have":[30],"developed":[31],"gaze-guided":[33],"visualization":[34,121],"and":[35,66,79,92],"transmission":[36],"3D":[38],"point":[39,49,124],"sets.":[40],"In":[41,95],"order":[42],"to":[43,61,107],"reduce":[44],"memory":[45],"loads":[46],"sets":[50],"general":[52],"PC":[53],"platforms,":[54],"introduce":[56],"partition-based":[58],"strategy":[60],"balance":[62],"usage":[63],"main":[65],"external":[67],"memories.":[68],"At":[69],"first,":[70],"surface":[73],"partitioned":[75],"into":[76,86],"small":[77],"blocks":[78],"points":[80],"in":[81],"each":[82],"block":[83,102],"are":[84],"reorganized":[85],"error-controlled":[87],"LODs":[88],"hierarchical":[90],"clustering":[91],"LOD":[93],"organization.":[94],"interactive":[97,120],"rendering":[98],"process,":[99],"scheduling":[103],"algorithm":[104],"used":[106],"realize":[108],"paging.":[111],"Experimental":[112],"results":[113],"show":[114],"that":[115],"can":[118],"perform":[119],"commodity":[127],"graphics":[128],"platforms":[129],"ease.":[131]},"counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
