{"id":"https://openalex.org/W6888860188","doi":"https://doi.org/10.2312/vissym/vissym02/043-052","title":"AUFLIC: An Accelerated Algorithm For Unsteady Flow Line Integral Convolution","display_name":"AUFLIC: An Accelerated Algorithm For Unsteady Flow Line Integral Convolution","publication_year":2002,"publication_date":"2002-01-01","ids":{"openalex":"https://openalex.org/W6888860188","doi":"https://doi.org/10.2312/vissym/vissym02/043-052"},"language":"en","primary_location":{"id":"doi:10.2312/vissym/vissym02/043-052","is_oa":true,"landing_page_url":"https://doi.org/10.2312/vissym/vissym02/043-052","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/vissym02/043-052","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Liu, ZhanPing","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, ZhanPing","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"II, Robert James Moorhead","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"II, Robert James Moorhead","raw_affiliation_strings":[],"raw_orcid":null,"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/streamlines-streaklines-and-pathlines","display_name":"Streamlines, streaklines, and pathlines","score":0.9010999798774719},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.6571999788284302},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.5238000154495239},{"id":"https://openalex.org/keywords/flow","display_name":"Flow (mathematics)","score":0.5192000269889832},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.435699999332428},{"id":"https://openalex.org/keywords/scan-line","display_name":"Scan line","score":0.367000013589859},{"id":"https://openalex.org/keywords/subroutine","display_name":"Subroutine","score":0.3564999997615814},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.3456000089645386}],"concepts":[{"id":"https://openalex.org/C60439489","wikidata":"https://www.wikidata.org/wiki/Q634407","display_name":"Streamlines, streaklines, and pathlines","level":2,"score":0.9010999798774719},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6973000168800354},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.6571999788284302},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5501000285148621},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.5238000154495239},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.5192000269889832},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.435699999332428},{"id":"https://openalex.org/C142748172","wikidata":"https://www.wikidata.org/wiki/Q3240002","display_name":"Scan line","level":4,"score":0.367000013589859},{"id":"https://openalex.org/C96147967","wikidata":"https://www.wikidata.org/wiki/Q190686","display_name":"Subroutine","level":2,"score":0.3564999997615814},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35589998960494995},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.3456000089645386},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.34310001134872437},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3425000011920929},{"id":"https://openalex.org/C132459708","wikidata":"https://www.wikidata.org/wiki/Q744069","display_name":"Extrapolation","level":2,"score":0.3395000100135803},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3231000006198883},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31200000643730164},{"id":"https://openalex.org/C26955809","wikidata":"https://www.wikidata.org/wiki/Q10167591","display_name":"Initial value problem","level":2,"score":0.3095000088214874},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.3070000112056732},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.2921999990940094},{"id":"https://openalex.org/C75023562","wikidata":"https://www.wikidata.org/wiki/Q467699","display_name":"Line integral","level":3,"score":0.290800005197525},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.2840000092983246},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.26269999146461487},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.26080000400543213}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2312/vissym/vissym02/043-052","is_oa":true,"landing_page_url":"https://doi.org/10.2312/vissym/vissym02/043-052","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/vissym02/043-052","is_oa":true,"landing_page_url":"https://doi.org/10.2312/vissym/vissym02/043-052","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":{"UFLIC":[0,40,119],"(Unsteady":[1],"Flow":[2],"Line":[3],"Integral":[4],"Convolution)":[5],"is":[6,22,58,95],"an":[7,29],"effective":[8],"texture":[9],"synthesis":[10],"technique":[11],"to":[12,24,36,74,84,97],"visualize":[13],"unsteady":[14],"flow":[15],"with":[16],"enhanced":[17],"temporal":[18],"coherence,":[19],"but":[20],"it":[21],"time-consuming":[23],"generate.":[25],"This":[26],"paper":[27],"presents":[28],"accelerated":[30],"algorithm,":[31],"called":[32],"AUFLIC":[33,117],"(Accelerated":[34],"UFLIC),":[35],"speed":[37],"up":[38],"the":[39,50,70,79,99],"generation.":[41],"Our":[42],"algorithm":[43],"saves,":[44],"re-uses,":[45],"and":[46,108],"updates":[47],"pathlines":[48,105],"in":[49,123],"value":[51],"scattering":[52,72],"processes.":[53],"A":[54,91],"flexible":[55],"seeding":[56],"strategy":[57],"introduced":[59],"so":[60,82],"that":[61],"a":[62],"seed":[63],"particle":[64],"may":[65],"be":[66],"directly":[67],"extracted":[68],"from":[69],"previous":[71],"processes":[73],"make":[75],"best":[76],"use":[77],"of":[78],"saved":[80],"pathline":[81,88],"as":[83],"reduce":[85],"computationally":[86],"expensive":[87],"integration":[89],"calculations.":[90],"dynamic":[92],"activation-deactivation":[93],"scheme":[94],"employed":[96],"maintain":[98],"fewest":[100],"necessary":[101],"pathlines.":[102],"Avoiding":[103],"excessive":[104],"achieves":[106],"acceleration":[107],"nearly-constant":[109],"memory":[110,115],"consumption.":[111],"With":[112],"very":[113],"low":[114],"cost,":[116],"cuts":[118],"generation":[120],"time":[121],"nearly":[122],"half":[124],"without":[125],"any":[126],"image":[127],"quality":[128],"degradation.":[129]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}