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Pixel-based level of detail on hardware tessellated terrain rendering

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dc.contributor.author Özek, Mehmet Ömer
dc.contributor.author Demir, Engin
dc.date.accessioned 2022-12-02T12:53:03Z
dc.date.available 2022-12-02T12:53:03Z
dc.date.issued 2017
dc.identifier.citation Özek, Mehmet Ömer; Demir, Engin (2017). "Pixel-based level of detail on hardware tessellated terrain rendering", ACM SIGGRAPH 2017 Posters, SIGGRAPH 2017, 44th International Conference on Computer Graphics and Interactive Techniques, ACM SIGGRAPH 2017 Los Angeles30 July 2017through 3 August 2017. tr_TR
dc.identifier.isbn 9781450350150
dc.identifier.uri http://hdl.handle.net/20.500.12416/5925
dc.description.abstract As the GPU's processing power has been improving much faster than the CPU's. the terrain rendering algorithms have evolved to use the graphics hardware as much as possible. One of the recently developed GPU-based Level of Detail (LOD) algorithm is Continuous View Dependent Adaptive LOD using hardware tessellation. In this study, Continuous View Dependent Adaptive LOD using hardware tessellation is enhanced using three additional methods. First method is determining pixel-based LOD using occlusion query. Because of hidden surface culling, render time is reduced. Second method is determining pixel-based LOD using occlusion query that newly developed by using OpenGL and CUDA interoperability. Œird method is extension of second method that includes quad-tree based query for each terrain node. Œird method aims to increase rendering quality of partial rendered terrain node. tr_TR
dc.language.iso eng tr_TR
dc.relation.isversionof 10.1145/3102163.3102218 tr_TR
dc.rights info:eu-repo/semantics/closedAccess tr_TR
dc.subject Continuous View Dependent Adaptive Lod tr_TR
dc.subject Determining Lod tr_TR
dc.subject Hardware Tessellation tr_TR
dc.subject Occlusion Query tr_TR
dc.subject Terrain Rendering tr_TR
dc.title Pixel-based level of detail on hardware tessellated terrain rendering tr_TR
dc.type conferenceObject tr_TR
dc.relation.journal ACM SIGGRAPH 2017 Posters, SIGGRAPH 2017 tr_TR
dc.contributor.department Çankaya Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü tr_TR


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