{"id":"https://openalex.org/W1574047241","doi":"https://doi.org/10.2312/pe/vriphys/vriphys07/035-041","title":"Occlusion-Based Snow Accumulation Simulation","display_name":"Occlusion-Based Snow Accumulation Simulation","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W1574047241","doi":"https://doi.org/10.2312/pe/vriphys/vriphys07/035-041","mag":"1574047241"},"language":"en","primary_location":{"id":"doi:10.2312/pe/vriphys/vriphys07/035-041","is_oa":true,"landing_page_url":"https://doi.org/10.2312/pe/vriphys/vriphys07/035-041","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":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.2312/pe/vriphys/vriphys07/035-041","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5049173904","display_name":"David Foldes","orcid":null},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Foldes, David","raw_affiliation_strings":["Purdue University"],"affiliations":[{"raw_affiliation_string":"Purdue University","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061742294","display_name":"Bed\u0159ich Bene\u0161","orcid":"https://orcid.org/0000-0002-5293-2112"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Benes, Bedrich","raw_affiliation_strings":["Purdue University"],"affiliations":[{"raw_affiliation_string":"Purdue University","institution_ids":["https://openalex.org/I219193219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5049173904"],"corresponding_institution_ids":["https://openalex.org/I219193219"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":10,"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":false,"primary_topic":{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9894999861717224,"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/T10644","display_name":"Cryospheric studies and observations","score":0.9879999756813049,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/skylight","display_name":"Skylight","score":0.9102734327316284},{"id":"https://openalex.org/keywords/snow","display_name":"Snow","score":0.9023289680480957},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46295222640037537},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.40679892897605896},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.388367235660553},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3751322329044342},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.36883455514907837},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36215680837631226},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.35683944821357727},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.2051810920238495}],"concepts":[{"id":"https://openalex.org/C2780574069","wikidata":"https://www.wikidata.org/wiki/Q2712955","display_name":"Skylight","level":2,"score":0.9102734327316284},{"id":"https://openalex.org/C197046000","wikidata":"https://www.wikidata.org/wiki/Q7561","display_name":"Snow","level":2,"score":0.9023289680480957},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46295222640037537},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.40679892897605896},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.388367235660553},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3751322329044342},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.36883455514907837},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36215680837631226},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35683944821357727},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2051810920238495},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2312/pe/vriphys/vriphys07/035-041","is_oa":true,"landing_page_url":"https://doi.org/10.2312/pe/vriphys/vriphys07/035-041","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/pe/vriphys/vriphys07/035-041","is_oa":true,"landing_page_url":"https://doi.org/10.2312/pe/vriphys/vriphys07/035-041","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":[{"score":0.5400000214576721,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W628743057","https://openalex.org/W1486264617","https://openalex.org/W1597508330","https://openalex.org/W1644976598","https://openalex.org/W2043334098","https://openalex.org/W2080358786","https://openalex.org/W2137953655","https://openalex.org/W2143495570","https://openalex.org/W2150933709","https://openalex.org/W2152753007","https://openalex.org/W2159021721","https://openalex.org/W2166027320","https://openalex.org/W2167690872","https://openalex.org/W2795804255"],"related_works":["https://openalex.org/W2150933709","https://openalex.org/W2143495570","https://openalex.org/W2163980598","https://openalex.org/W2139514605","https://openalex.org/W2124777595","https://openalex.org/W2110161540","https://openalex.org/W2096413136","https://openalex.org/W2095856624","https://openalex.org/W2081582282","https://openalex.org/W2063446453","https://openalex.org/W2032670234","https://openalex.org/W2010861399","https://openalex.org/W2009764877","https://openalex.org/W2005073772","https://openalex.org/W1991888775","https://openalex.org/W1991571876","https://openalex.org/W1978125380","https://openalex.org/W1581770902","https://openalex.org/W1558993918","https://openalex.org/W1498729378"],"abstract_inverted_index":{"We":[0,32],"present":[1],"a":[2,30,66,79,95,111],"fast":[3,80],"technique":[4,12,77],"for":[5,89,132],"the":[6,26,38,49,53,73,115,119,123],"simulation":[7],"of":[8,20,29,42,57,118,126],"accumulated":[9],"snow.":[10],"Our":[11,76],"is":[13,63,70,78],"based":[14],"on":[15,110,122],"two":[16],"phenomena;":[17],"local":[18,92],"occlusion":[19,35],"small":[21,90],"holes":[22],"and":[23,25,40,45,55,82,91,114],"ditches,":[24],"global":[27],"influence":[28],"skylight.":[31],"use":[33],"ambient":[34],"to":[36,51,72,86],"predict":[37],"shape":[39],"location":[41],"snow":[43,58,62],"accumulation":[44],"direct":[46],"illumination":[47],"from":[48],"skylight":[50],"simulate":[52],"melting":[54],"sublimation":[56],"as":[59,65],"dissipation.":[60],"The":[61],"simulated":[64],"3D":[67],"layer":[68],"that":[69],"added":[71],"input":[74],"scene.":[75],"approximation":[81],"does":[83],"not":[84],"aim":[85],"be":[87,104,130],"used":[88,131],"features":[93],"within":[94],"simulation.":[96],"A":[97],"scene":[98],"with":[99],"over":[100],"500k":[101],"triangles":[102],"can":[103],"calculated":[105],"in":[106],"about":[107],"seven":[108],"minutes":[109],"standard":[112],"computer":[113],"major":[116],"part":[117],"calculation":[120],"runs":[121],"GPU.":[124],"Results":[125],"our":[127],"algorithm":[128],"should":[129],"large":[133],"distance":[134],"views.":[135]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
