{"id":"https://openalex.org/W2030483304","doi":"https://doi.org/10.1145/1921264.1921288","title":"GPU-accelerated multi-valued solid voxelization by slice functions in real time","display_name":"GPU-accelerated multi-valued solid voxelization by slice functions in real time","publication_year":2008,"publication_date":"2008-04-21","ids":{"openalex":"https://openalex.org/W2030483304","doi":"https://doi.org/10.1145/1921264.1921288","mag":"2030483304"},"language":"en","primary_location":{"id":"doi:10.1145/1921264.1921288","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1921264.1921288","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th Spring Conference on Computer Graphics","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/A5113727972","display_name":"Duoduo Liao","orcid":null},"institutions":[{"id":"https://openalex.org/I193531525","display_name":"George Washington University","ror":"https://ror.org/00y4zzh67","country_code":"US","type":"education","lineage":["https://openalex.org/I193531525"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Duoduo Liao","raw_affiliation_strings":["George Washington University","george Washington University"],"affiliations":[{"raw_affiliation_string":"George Washington University","institution_ids":["https://openalex.org/I193531525"]},{"raw_affiliation_string":"george Washington University","institution_ids":["https://openalex.org/I193531525"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5113727972"],"corresponding_institution_ids":["https://openalex.org/I193531525"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.07628972,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"113","last_page":"120"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9990000128746033,"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":0.9990000128746033,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9988999962806702,"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/T12923","display_name":"Digital Image Processing Techniques","score":0.9983000159263611,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7339111566543579},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.6047130823135376},{"id":"https://openalex.org/keywords/computational-science","display_name":"Computational science","score":0.36652839183807373}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7339111566543579},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.6047130823135376},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.36652839183807373}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1921264.1921288","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1921264.1921288","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th Spring Conference on Computer Graphics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.5600000023841858,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W65132813","https://openalex.org/W85028940","https://openalex.org/W108059866","https://openalex.org/W145477298","https://openalex.org/W794529326","https://openalex.org/W1503455798","https://openalex.org/W1520716157","https://openalex.org/W1597508330","https://openalex.org/W1963545167","https://openalex.org/W1966832848","https://openalex.org/W1977849596","https://openalex.org/W1981868188","https://openalex.org/W1998594918","https://openalex.org/W2006929154","https://openalex.org/W2011346946","https://openalex.org/W2034927886","https://openalex.org/W2038029237","https://openalex.org/W2043334098","https://openalex.org/W2054109549","https://openalex.org/W2061416066","https://openalex.org/W2083336217","https://openalex.org/W2090119071","https://openalex.org/W2117965264","https://openalex.org/W2147477841","https://openalex.org/W2148035507","https://openalex.org/W2151228210","https://openalex.org/W2151447074","https://openalex.org/W2166800045","https://openalex.org/W2178948257","https://openalex.org/W2204595578","https://openalex.org/W2293779956","https://openalex.org/W2336763592","https://openalex.org/W2956819335","https://openalex.org/W4255286169","https://openalex.org/W6604394371"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W2350741829","https://openalex.org/W2530322880","https://openalex.org/W1596801655"],"abstract_inverted_index":{"This":[0],"paper":[1,113],"presents":[2],"a":[3,11,57],"GPU-accelerated":[4],"slice-independent":[5],"solid":[6,22,34,58,90,97],"voxelization":[7,23],"approach":[8],"that":[9],"utilizes":[10],"dynamic":[12,82],"slice":[13,39,47,83,91],"function":[14],"mechanism":[15],"and":[16,87,99,118,135,141,152],"masking":[17],"techniques":[18,102],"to":[19,116,120],"significantly":[20],"improve":[21],"speed":[24],"in":[25,106,111],"real":[26],"time":[27],"as":[28,30,68,126],"well":[29],"create":[31],"various":[32],"multi-valued":[33],"volumetric":[35,59],"models":[36],"with":[37,61],"different":[38,46],"functions.":[40],"In":[41,75],"particular,":[42],"by":[43],"dynamically":[44],"applying":[45],"functions,":[48],"any":[49,62],"surface-closed":[50],"geometric":[51],"model":[52],"can":[53],"be":[54,104],"voxelized":[55],"into":[56,122],"representation":[60],"kind":[63],"of":[64,80,89,95,154],"interior":[65],"materials,":[66],"such":[67,125],"rainbow,":[69],"marble,":[70],"wood,":[71],"translucent":[72],"jade,":[73],"etc.":[74],"this":[76,112,155],"paper,":[77],"the":[78,81,85,93,145,149],"design":[79],"function,":[84],"principle":[86],"algorithm":[88,94],"creation,":[92],"real-time":[96],"voxelization,":[98],"GPU-based":[100],"acceleration":[101],"will":[103],"discussed":[105],"detail.":[107],"The":[108,138],"algorithms":[109],"introduced":[110],"are":[114],"easy":[115],"implement":[117],"convenient":[119],"integrate":[121],"many":[123],"applications,":[124],"volume":[127,133],"modeling,":[128],"collision":[129],"detection,":[130],"medical":[131],"simulation,":[132],"animation,":[134],"computer":[136],"art.":[137],"experimental":[139],"results":[140],"data":[142],"analysis":[143],"for":[144],"complex":[146],"objects":[147],"demonstrate":[148],"effectiveness,":[150],"flexibility,":[151],"diversity":[153],"approach.":[156]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}