{"title":"对空间变化材料特性的有效捕获","authors":"Jessica R. Baron, Eric Patterson, J. Dupuy","doi":"10.1145/3588028.3603677","DOIUrl":null,"url":null,"abstract":"Improvements in the science and art of computer-graphics rendering, particularly with a shift in recent decades toward more physically driven models in both real-time and offline rendering, have motivated improvements in material models. However, real-world materials are often still significantly more complex in their observable light scattering than current shading models used to represent them in renderers. In order to represent these complexities at higher visible fidelity, improved methods for material acquisition and representation are desired, and one important area of continued study is capture and representation of properties of spatially varying physical materials. We present developing efforts toward acquiring and representing those spatially varying properties that build on recent work concerning parameterization techniques to improve the efficiency of material acquisition.","PeriodicalId":113397,"journal":{"name":"ACM SIGGRAPH 2023 Posters","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Toward Efficient Capture of Spatially Varying Material Properties\",\"authors\":\"Jessica R. Baron, Eric Patterson, J. Dupuy\",\"doi\":\"10.1145/3588028.3603677\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Improvements in the science and art of computer-graphics rendering, particularly with a shift in recent decades toward more physically driven models in both real-time and offline rendering, have motivated improvements in material models. However, real-world materials are often still significantly more complex in their observable light scattering than current shading models used to represent them in renderers. In order to represent these complexities at higher visible fidelity, improved methods for material acquisition and representation are desired, and one important area of continued study is capture and representation of properties of spatially varying physical materials. We present developing efforts toward acquiring and representing those spatially varying properties that build on recent work concerning parameterization techniques to improve the efficiency of material acquisition.\",\"PeriodicalId\":113397,\"journal\":{\"name\":\"ACM SIGGRAPH 2023 Posters\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-07-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACM SIGGRAPH 2023 Posters\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3588028.3603677\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM SIGGRAPH 2023 Posters","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3588028.3603677","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Toward Efficient Capture of Spatially Varying Material Properties
Improvements in the science and art of computer-graphics rendering, particularly with a shift in recent decades toward more physically driven models in both real-time and offline rendering, have motivated improvements in material models. However, real-world materials are often still significantly more complex in their observable light scattering than current shading models used to represent them in renderers. In order to represent these complexities at higher visible fidelity, improved methods for material acquisition and representation are desired, and one important area of continued study is capture and representation of properties of spatially varying physical materials. We present developing efforts toward acquiring and representing those spatially varying properties that build on recent work concerning parameterization techniques to improve the efficiency of material acquisition.