{"title":"Predictable and Targeted Softening of the Shadow Terminator","authors":"Priyamvad Deshmukh, Brian Green","doi":"10.1145/3388767.3407371","DOIUrl":null,"url":null,"abstract":"A well known artifact in production rendering from the use of shading normals is the shadow terminator problem: the abrupt interruption of the light’s smooth cosine falloff at geometric horizons. Recent publications introduced several ad-hoc techniques, based loosely on microfacet theory to deal with these issues. We show that these techniques can themselves introduce artifacts and suggest a new technique that is an improvement in many situations. More importantly we introduce a framework for analyzing these different techniques so artists and researchers can choose appropriate solutions and more reliably predict and understand expected results.","PeriodicalId":368810,"journal":{"name":"Special Interest Group on Computer Graphics and Interactive Techniques Conference Talks","volume":"120 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Special Interest Group on Computer Graphics and Interactive Techniques Conference Talks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3388767.3407371","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
A well known artifact in production rendering from the use of shading normals is the shadow terminator problem: the abrupt interruption of the light’s smooth cosine falloff at geometric horizons. Recent publications introduced several ad-hoc techniques, based loosely on microfacet theory to deal with these issues. We show that these techniques can themselves introduce artifacts and suggest a new technique that is an improvement in many situations. More importantly we introduce a framework for analyzing these different techniques so artists and researchers can choose appropriate solutions and more reliably predict and understand expected results.