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dc.contributor.authorTsakok, John
dc.date.accessioned2008-09-02 15:46:20 (GMT)
dc.date.available2008-09-02 15:46:20 (GMT)
dc.date.issued2008-09-02T15:46:20Z
dc.date.submitted2008
dc.identifier.urihttp://hdl.handle.net/10012/3947
dc.description.abstractIn the past, ray tracing has been used widely in offline rendering applications since it provided the ability to better capture high quality secondary effects such as reflection, refraction and shadows. Such effects are difficult to produce in a robust, high quality fashion with traditional, real-time rasterization algorithms. Motivated to bring the advantages to ray tracing to real-time applications, researchers have developed better and more efficient algorithms that leverage the current generation of fast, parallel CPU hardware within the past few years. This thesis provides the implementation and design details of a high performance ray tracing solution called ``RTTest'' for standard, desktop CPUs. Background information on various algorithms and acceleration structures are first discussed followed by an introduction to novel techniques used to better accelerate current, core ray tracing techniques. Techniques such as Omni-Directional Packets, Cone Proxy Traversal and Multiple Frustum Traversal are proposed and benchmarked using standard ray tracing scenes. Also, a novel soft shadowing algorithm called Edge Width Soft Shadows is proposed which achieves performance comparable to a single sampled hard shadow approach targeted at real time applications such as games. Finally, additional information on the memory layout, rendering pipeline, shader system and code level optimizations of RTTest are also discussed.en
dc.language.isoenen
dc.publisherUniversity of Waterlooen
dc.subjectray tracingen
dc.subjectsoft shadowsen
dc.subjectcomputer graphicsen
dc.subjectrenderingen
dc.titleFast Ray Tracing Techniquesen
dc.typeMaster Thesisen
dc.pendingfalseen
dc.subject.programElectrical and Computer Engineeringen
uws-etd.degree.departmentElectrical and Computer Engineeringen
uws-etd.degreeMaster of Applied Scienceen
uws.typeOfResourceTexten
uws.peerReviewStatusUnrevieweden
uws.scholarLevelGraduateen


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