{"title":"消费图形卡上的随机路径跟踪","authors":"T. Huwe, R. Hemmerling","doi":"10.1145/1921264.1921287","DOIUrl":null,"url":null,"abstract":"We present a path tracer using the GPU of a consumers graphics card to render images. It is implemented in Java and GLSL using GroIMP as modelling platform and runtime environment. The path tracer is capable of rendering primitives like sphere, cone, cylinder, box, plane and parallelogram. Procedurally generated materials as well as textures can be applied to those objects. The resulting image is rendered in HDR (high dynamic range).","PeriodicalId":235681,"journal":{"name":"Spring conference on Computer graphics","volume":"58 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Stochastic path tracing on consumer graphics cards\",\"authors\":\"T. Huwe, R. Hemmerling\",\"doi\":\"10.1145/1921264.1921287\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present a path tracer using the GPU of a consumers graphics card to render images. It is implemented in Java and GLSL using GroIMP as modelling platform and runtime environment. The path tracer is capable of rendering primitives like sphere, cone, cylinder, box, plane and parallelogram. Procedurally generated materials as well as textures can be applied to those objects. The resulting image is rendered in HDR (high dynamic range).\",\"PeriodicalId\":235681,\"journal\":{\"name\":\"Spring conference on Computer graphics\",\"volume\":\"58 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-04-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Spring conference on Computer graphics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/1921264.1921287\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Spring conference on Computer graphics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1921264.1921287","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Stochastic path tracing on consumer graphics cards
We present a path tracer using the GPU of a consumers graphics card to render images. It is implemented in Java and GLSL using GroIMP as modelling platform and runtime environment. The path tracer is capable of rendering primitives like sphere, cone, cylinder, box, plane and parallelogram. Procedurally generated materials as well as textures can be applied to those objects. The resulting image is rendered in HDR (high dynamic range).