{"id":"https://openalex.org/W2886076679","doi":"https://doi.org/10.1145/3230744.3230755","title":"Conservative Z-prepass for frustum-traced irregular Z-buffers","display_name":"Conservative Z-prepass for frustum-traced irregular Z-buffers","publication_year":2018,"publication_date":"2018-08-12","ids":{"openalex":"https://openalex.org/W2886076679","doi":"https://doi.org/10.1145/3230744.3230755","mag":"2886076679"},"language":"en","primary_location":{"id":"doi:10.1145/3230744.3230755","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3230744.3230755","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM SIGGRAPH 2018 Posters","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/A5000082719","display_name":"Yusuke Tokuyoshi","orcid":"https://orcid.org/0000-0002-6612-1812"},"institutions":[{"id":"https://openalex.org/I2802212502","display_name":"TiGenix (Spain)","ror":"https://ror.org/0202k4b21","country_code":"ES","type":"company","lineage":["https://openalex.org/I2802212502"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Yusuke Tokuyoshi","raw_affiliation_strings":["SQUARE ENIX CO., LTD"],"affiliations":[{"raw_affiliation_string":"SQUARE ENIX CO., LTD","institution_ids":["https://openalex.org/I2802212502"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074708336","display_name":"Tomohiro Mizokuchi","orcid":null},"institutions":[{"id":"https://openalex.org/I2802212502","display_name":"TiGenix (Spain)","ror":"https://ror.org/0202k4b21","country_code":"ES","type":"company","lineage":["https://openalex.org/I2802212502"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Tomohiro Mizokuchi","raw_affiliation_strings":["SQUARE ENIX CO., LTD"],"affiliations":[{"raw_affiliation_string":"SQUARE ENIX CO., LTD","institution_ids":["https://openalex.org/I2802212502"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5000082719"],"corresponding_institution_ids":["https://openalex.org/I2802212502"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13612918,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.998199999332428,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9934999942779541,"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/frustum","display_name":"Frustum","score":0.9327397346496582},{"id":"https://openalex.org/keywords/shadow","display_name":"Shadow (psychology)","score":0.8632499575614929},{"id":"https://openalex.org/keywords/visibility","display_name":"Visibility","score":0.8531690835952759},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7636843323707581},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.7436442375183105},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.5829796195030212},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5448881983757019},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.44273367524147034},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3849117159843445},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.21593594551086426},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.16263091564178467},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.09326997399330139},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08695897459983826},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06714770197868347}],"concepts":[{"id":"https://openalex.org/C97402662","wikidata":"https://www.wikidata.org/wiki/Q846235","display_name":"Frustum","level":2,"score":0.9327397346496582},{"id":"https://openalex.org/C117797892","wikidata":"https://www.wikidata.org/wiki/Q286363","display_name":"Shadow (psychology)","level":2,"score":0.8632499575614929},{"id":"https://openalex.org/C123403432","wikidata":"https://www.wikidata.org/wiki/Q654068","display_name":"Visibility","level":2,"score":0.8531690835952759},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7636843323707581},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.7436442375183105},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.5829796195030212},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5448881983757019},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.44273367524147034},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3849117159843445},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.21593594551086426},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.16263091564178467},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.09326997399330139},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08695897459983826},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06714770197868347},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3230744.3230755","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3230744.3230755","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM SIGGRAPH 2018 Posters","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":3,"referenced_works":["https://openalex.org/W2296316032","https://openalex.org/W2401802294","https://openalex.org/W2493221493"],"related_works":["https://openalex.org/W2065795160","https://openalex.org/W2047933837","https://openalex.org/W2090425280","https://openalex.org/W4289815017","https://openalex.org/W2902617670","https://openalex.org/W2347325618","https://openalex.org/W4297193075","https://openalex.org/W3147274046","https://openalex.org/W3216201448","https://openalex.org/W2377438489"],"abstract_inverted_index":{"This":[0,66],"paper":[1,67],"presents":[2,69],"a":[3,50,56,70],"pipeline":[4,62],"to":[5,21,38],"accelerate":[6],"frustum":[7],"traced":[8],"irregular":[9],"z-buffers":[10],"(IZBs).":[11],"The":[12],"IZB":[13],"proposed":[14],"by":[15,54,99],"Wyman":[16],"et":[17],"al.":[18],"is":[19,35,97,112],"used":[20],"render":[22],"accurate":[23],"hard":[24,46,94],"shadows":[25],"for":[26,86,115],"real-time":[27],"applications":[28],"such":[29],"as":[30],"video":[31],"games,":[32],"while":[33],"it":[34],"expensive":[36],"compared":[37],"shadow":[39,58,77,95],"mapping.":[40],"To":[41],"improve":[42],"the":[43,61,64,75,80,90,93,106],"performance":[44,91],"of":[45,63,74,92],"shadows,":[47],"we":[48],"use":[49],"two-pass":[51,107],"visibility":[52,108],"test":[53],"integrating":[55],"conservative":[57,76],"map":[59,78],"into":[60],"IZB.":[65],"also":[68],"more":[71,100],"precise":[72],"implementation":[73],"than":[79,101],"previous":[81],"implementation.":[82],"In":[83],"our":[84],"experiments":[85],"4K":[87],"screen":[88],"resolution,":[89],"computation":[96],"improved":[98],"double":[102],"on":[103],"average":[104],"using":[105],"test,":[109],"though":[110],"there":[111],"still":[113],"room":[114],"optimization.":[116]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}