乐胖代购免代理版

{"id":"https://openalex.org/W1981362499","doi":"https://doi.org/10.1117/12.643269","title":"Adaptive border sampling for hardware texture-based volume visualization","display_name":"Adaptive border sampling for hardware texture-based volume visualization","publication_year":2006,"publication_date":"2006-01-15","ids":{"openalex":"https://openalex.org/W1981362499","doi":"https://doi.org/10.1117/12.643269","mag":"1981362499"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.643269","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"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/A5003458777","display_name":"Eric LaMar","orcid":null},"institutions":[{"id":"https://openalex.org/I4210116158","display_name":"Institute for Scientific Analysis","ror":"https://ror.org/02dktng58","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210116158"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Eric LaMar","raw_affiliation_strings":["Institute for Scientific Research (United States)"],"affiliations":[{"raw_affiliation_string":"Institute for Scientific Research (United States)","institution_ids":["https://openalex.org/I4210116158"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5003458777"],"corresponding_institution_ids":["https://openalex.org/I4210116158"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":61},"biblio":{"volume":"6060","issue":null,"first_page":"606005","last_page":"606005"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9987,"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":0.9987,"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/T10799","display_name":"Data Visualization and Analytics","score":0.9954,"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":0.9752,"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/sample","display_name":"Sample (material)","score":0.66616535},{"id":"https://openalex.org/keywords/adaptive-sampling","display_name":"Adaptive sampling","score":0.5214545}],"concepts":[{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.7364254},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.73159355},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.71729934},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.6787621},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.66616535},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5489054},{"id":"https://openalex.org/C30769735","wikidata":"https://www.wikidata.org/wiki/Q2165951","display_name":"Volume rendering","level":3,"score":0.5309476},{"id":"https://openalex.org/C2781395549","wikidata":"https://www.wikidata.org/wiki/Q4680762","display_name":"Adaptive sampling","level":3,"score":0.5214545},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.46708488},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40825742},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.39757952},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39455083},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20179969},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11412057},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.643269","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"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":0,"referenced_works":[],"related_works":["https://openalex.org/W4210985407","https://openalex.org/W312558119","https://openalex.org/W2739976646","https://openalex.org/W2038693912","https://openalex.org/W2013728941","https://openalex.org/W1991602789","https://openalex.org/W1988359706","https://openalex.org/W1982370580","https://openalex.org/W1582396021","https://openalex.org/W1486114612"],"abstract_inverted_index":{"This":[0],"paper":[1,97],"introduces":[2],"a":[3,18,21,31,44,50,58,106],"technique":[4,121],"to":[5,65,137,143,150],"properly":[6],"sample":[7,28,147],"volume":[8,19,129,155],"boundaries":[9,56,112,156],"in":[10,161],"hardware":[11],"texture-based":[12],"Volume":[13],"Visualization.":[14],"Prior":[15],"techniques":[16],"render":[17],"with":[20,93,157],"set":[22,32],"of":[23,33,43,57,102,109,127,164],"uniformly-spaced":[24],"proxy":[25],"geometries":[26],"that":[27],"(and":[29],"represent)":[30],"uniform-depth":[34],"slices.":[35],"While":[36,85],"this":[37,61,96,139],"is":[38,115],"sufficient":[39],"for":[40],"the":[41,55,72,77,81,100,123,128,131,145,154,158,162,165],"core":[42,163],"volume,":[45,59],"it":[46],"does":[47],"not":[48,89],"consider":[49],"sample's":[51],"partial":[52],"overlap":[53],"at":[54,68,111,130,153],"and":[60,149],"failing":[62],"can":[63],"lead":[64],"significant":[66],"artifacts":[67,87],"these":[69,86],"boundaries.":[70,132],"Increasing":[71],"sampling":[73,110,142,159],"rate":[74],"doesn't":[75],"solve":[76],"problem":[78],"-":[79,113],"but":[80],"proper":[82],"calculation":[83],"will.":[84],"might":[88],"be":[90],"easily":[91],"visible":[92],"large":[94],"datasets,":[95],"expands":[98],"on":[99],"fundamentals":[101],"visualization":[103],"by":[104],"presenting":[105],"correct":[107],"handling":[108],"which":[114],"missing":[116],"from":[117],"previous":[118],"literature.":[119],"Our":[120],"computes":[122],"non-unit":[124],"depth":[125],"contributions":[126,148],"We":[133],"use":[134],"fragment":[135],"programs":[136],"perform":[138],"adaptive":[140],"border":[141],"compute":[144],"partial":[146],"match":[151],"sampling-planes":[152],"geometry":[160],"volume.":[166]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W1981362499","counts_by_year":[],"updated_date":"2025-01-21T19:06:06.619255","created_date":"2016-06-24"}