{"id":"https://openalex.org/W1986089247","doi":"https://doi.org/10.1145/2556700.2556706","title":"Adaptive depth bias for shadow maps","display_name":"Adaptive depth bias for shadow maps","publication_year":2014,"publication_date":"2014-03-14","ids":{"openalex":"https://openalex.org/W1986089247","doi":"https://doi.org/10.1145/2556700.2556706","mag":"1986089247"},"language":"en","primary_location":{"id":"doi:10.1145/2556700.2556706","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2556700.2556706","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 18th meeting of the ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games","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/A5044932896","display_name":"Hang Dou","orcid":null},"institutions":[{"id":"https://openalex.org/I126307644","display_name":"University of Iowa","ror":"https://ror.org/036jqmy94","country_code":"US","type":"education","lineage":["https://openalex.org/I126307644"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Hang Dou","raw_affiliation_strings":["The University of Iowa"],"affiliations":[{"raw_affiliation_string":"The University of Iowa","institution_ids":["https://openalex.org/I126307644"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101327393","display_name":"Yajie Yan","orcid":null},"institutions":[{"id":"https://openalex.org/I126307644","display_name":"University of Iowa","ror":"https://ror.org/036jqmy94","country_code":"US","type":"education","lineage":["https://openalex.org/I126307644"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yajie Yan","raw_affiliation_strings":["The University of Iowa"],"affiliations":[{"raw_affiliation_string":"The University of Iowa","institution_ids":["https://openalex.org/I126307644"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068100112","display_name":"Ethan Kerzner","orcid":null},"institutions":[{"id":"https://openalex.org/I4210106889","display_name":"Science Communication Institute","ror":"https://ror.org/01m52ey02","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210106889"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ethan Kerzner","raw_affiliation_strings":["SCI Institute"],"affiliations":[{"raw_affiliation_string":"SCI Institute","institution_ids":["https://openalex.org/I4210106889"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036084788","display_name":"Zeng Dai","orcid":"https://orcid.org/0000-0001-9613-9434"},"institutions":[{"id":"https://openalex.org/I126307644","display_name":"University of Iowa","ror":"https://ror.org/036jqmy94","country_code":"US","type":"education","lineage":["https://openalex.org/I126307644"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zeng Dai","raw_affiliation_strings":["The University of Iowa"],"affiliations":[{"raw_affiliation_string":"The University of Iowa","institution_ids":["https://openalex.org/I126307644"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006219693","display_name":"Chris Wyman","orcid":"https://orcid.org/0000-0002-5133-4292"},"institutions":[{"id":"https://openalex.org/I1304085615","display_name":"Nvidia (United Kingdom)","ror":"https://ror.org/02kr42612","country_code":"GB","type":"company","lineage":["https://openalex.org/I1304085615","https://openalex.org/I4210127875"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Chris Wyman","raw_affiliation_strings":["NVIDIA","Nvidia"],"affiliations":[{"raw_affiliation_string":"NVIDIA","institution_ids":[]},{"raw_affiliation_string":"Nvidia","institution_ids":["https://openalex.org/I1304085615"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5044932896"],"corresponding_institution_ids":["https://openalex.org/I126307644"],"apc_list":null,"apc_paid":null,"fwci":4.4292,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.93796569,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"97","last_page":"102"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9957000017166138,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9943000078201294,"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/shadow","display_name":"Shadow (psychology)","score":0.7987462878227234},{"id":"https://openalex.org/keywords/aliasing","display_name":"Aliasing","score":0.6472250819206238},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6241176724433899},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.5820136666297913},{"id":"https://openalex.org/keywords/shadow-mapping","display_name":"Shadow mapping","score":0.5622987747192383},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.5525833368301392},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.530299186706543},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.49615296721458435},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.4921225905418396},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4904327094554901},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4268142879009247},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38475027680397034},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3777863383293152},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3087826669216156},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11662018299102783},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.07700967788696289}],"concepts":[{"id":"https://openalex.org/C117797892","wikidata":"https://www.wikidata.org/wiki/Q286363","display_name":"Shadow (psychology)","level":2,"score":0.7987462878227234},{"id":"https://openalex.org/C4069607","wikidata":"https://www.wikidata.org/wiki/Q868732","display_name":"Aliasing","level":3,"score":0.6472250819206238},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6241176724433899},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.5820136666297913},{"id":"https://openalex.org/C116544410","wikidata":"https://www.wikidata.org/wiki/Q1478122","display_name":"Shadow mapping","level":2,"score":0.5622987747192383},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.5525833368301392},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.530299186706543},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.49615296721458435},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.4921225905418396},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4904327094554901},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4268142879009247},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38475027680397034},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3777863383293152},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3087826669216156},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11662018299102783},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.07700967788696289},{"id":"https://openalex.org/C136536468","wikidata":"https://www.wikidata.org/wiki/Q1225894","display_name":"Undersampling","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"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":[{"id":"doi:10.1145/2556700.2556706","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2556700.2556706","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 18th meeting of the ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.4300000071525574,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W24753294","https://openalex.org/W157460070","https://openalex.org/W1481136003","https://openalex.org/W1489229580","https://openalex.org/W1588209080","https://openalex.org/W1683063214","https://openalex.org/W1964235123","https://openalex.org/W2045567336","https://openalex.org/W2055099234","https://openalex.org/W2070970852","https://openalex.org/W2083364416","https://openalex.org/W2096737068","https://openalex.org/W2114881948","https://openalex.org/W2139618623","https://openalex.org/W2148466875","https://openalex.org/W2152728055","https://openalex.org/W2154927304","https://openalex.org/W2168223073","https://openalex.org/W2244302129","https://openalex.org/W2283479306","https://openalex.org/W2611711075","https://openalex.org/W3002147292","https://openalex.org/W3006931878","https://openalex.org/W4241614188","https://openalex.org/W6606365126","https://openalex.org/W6674757629"],"related_works":["https://openalex.org/W1504907250","https://openalex.org/W4387143966","https://openalex.org/W4200295500","https://openalex.org/W2743826367","https://openalex.org/W2031094984","https://openalex.org/W2557434884","https://openalex.org/W2554280219","https://openalex.org/W2353014491","https://openalex.org/W2316352747","https://openalex.org/W2071696414"],"abstract_inverted_index":{"Shadow":[0],"aliasing":[1],"due":[2],"to":[3,20],"limited":[4],"storage":[5],"precision":[6],"has":[7],"been":[8],"plaguing":[9],"discrete":[10],"shadowing":[11],"algorithms":[12],"for":[13,55,86],"decades.":[14],"We":[15],"present":[16],"a":[17],"simple":[18],"method":[19,67],"eliminate":[21],"false":[22],"self-shadowing":[23],"through":[24],"adaptive":[25],"depth":[26],"bias.":[27],"Unlike":[28],"existing":[29],"methods":[30],"which":[31],"simply":[32],"set":[33],"the":[34,37,45,51,60,64],"weight":[35],"of":[36,53],"bias":[38,54,62,79,83],"based":[39],"on":[40],"surface":[41],"slope":[42,81],"or":[43],"utilize":[44],"second":[46],"nearest":[47],"surface,":[48],"we":[49],"evaluate":[50],"bound":[52],"each":[56],"fragment":[57],"and":[58,80,84],"compute":[59],"optimal":[61],"within":[63],"bound.":[65],"Our":[66],"introduces":[68],"small":[69],"overhead,":[70],"preserves":[71],"more":[72],"shadow":[73,89,96],"details":[74],"than":[75],"widely":[76],"used":[77],"constant":[78],"scale":[82],"works":[85],"common":[87],"2D":[88],"maps":[90],"as":[91,93],"well":[92],"3D":[94],"binary":[95],"volumes.":[97]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}