{"title":"Representing BRDF by wavelet transformation of pair-copula constructions","authors":"A. Bilgili, A. Öztürk, Murat Kurt","doi":"10.1145/2448531.2448539","DOIUrl":null,"url":null,"abstract":"Bidirectional Reflectance Distribution Functions (BRDFs) are well-known functions in computer graphics, and these special functions represent the surface reflectance of materials. BRDFs can be viewed as multivariate probability density function (pdf) of incoming photons leaving in a particular outgoing direction. However, constructing a multivariate probability distribution for modeling a given BRDF is difficult. A family of distributions, namely Copula distributions have been used to approximate BRDF. In this work, we employ the Pair-Copula constructions to represent the measured BRDF densities. As the measured BRDF densities have large storage needs, we use Wavelet transforms for a compact BRDF representation. We also compare the proposed BRDF representation with a number of well-known BRDF models, and show that our compact BRDF representation provides good approximation to measured BRDF data.","PeriodicalId":235681,"journal":{"name":"Spring conference on Computer graphics","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Spring conference on Computer graphics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2448531.2448539","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Bidirectional Reflectance Distribution Functions (BRDFs) are well-known functions in computer graphics, and these special functions represent the surface reflectance of materials. BRDFs can be viewed as multivariate probability density function (pdf) of incoming photons leaving in a particular outgoing direction. However, constructing a multivariate probability distribution for modeling a given BRDF is difficult. A family of distributions, namely Copula distributions have been used to approximate BRDF. In this work, we employ the Pair-Copula constructions to represent the measured BRDF densities. As the measured BRDF densities have large storage needs, we use Wavelet transforms for a compact BRDF representation. We also compare the proposed BRDF representation with a number of well-known BRDF models, and show that our compact BRDF representation provides good approximation to measured BRDF data.