Hierarchical occlusion culling for arbitrarily-meshed height fields
dc.contributor.advisor | Keyser, John | |
dc.creator | Edmondson, Paul Michael | |
dc.date.accessioned | 2004-09-30T01:47:14Z | |
dc.date.available | 2004-09-30T01:47:14Z | |
dc.date.created | 2003-05 | |
dc.date.issued | 2004-09-30 | |
dc.identifier.uri | https://hdl.handle.net/1969.1/231 | |
dc.description.abstract | Many graphics applications today have need for high-speed 3-D visualization of height fields. Most of these applications deal with the display of digital terrain models characterized by a simple, but vast, non-overlapping mesh of triangles. A great deal of research has been done to find methods of optimizing such systems. The goal of this work is to establish an algorithm to efficiently preprocess a hierarchical height field model that enables the real-time culling of occluded geometry while still allowing for classic terrain-rendering frameworks. By exploiting the planar-monotone characteristics of height fields, it is possible to create a unique and efficient occlusion culling method that is optimized for terrain rendering and similar applications. Previous work has shown that culling is possible with certain regularly-gridded height field models, but not until now has a system been shown to work with all height fields, regardless of how their meshes are constructed. By freeing the system of meshing restrictions, it is possible to incorporate a number of broader height field algorithms with widely-used applications such as flight simulators, GIS systems, and computer games. | en |
dc.format.extent | 3618214 bytes | en |
dc.format.extent | 122805 bytes | en |
dc.format.medium | electronic | en |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.language.iso | en_US | |
dc.publisher | Texas A&M University | |
dc.subject | occlusion | en |
dc.subject | culling | en |
dc.subject | height fields | en |
dc.subject | terrains | en |
dc.title | Hierarchical occlusion culling for arbitrarily-meshed height fields | en |
dc.type | Book | en |
dc.type | Thesis | en |
thesis.degree.department | Computer Science | en |
thesis.degree.discipline | Computer Science | en |
thesis.degree.grantor | Texas A&M University | en |
thesis.degree.name | Master of Science | en |
thesis.degree.level | Masters | en |
dc.contributor.committeeMember | Amato, Nancy | |
dc.contributor.committeeMember | House, Donald H. | |
dc.type.genre | Electronic Thesis | en |
dc.type.material | text | en |
dc.format.digitalOrigin | born digital | en |
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Electronic Theses, Dissertations, and Records of Study (2002– )
Texas A&M University Theses, Dissertations, and Records of Study (2002– )