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dc.contributor.advisorKeyser, John
dc.creatorEdmondson, Paul Michael
dc.date.accessioned2004-09-30T01:47:14Z
dc.date.available2004-09-30T01:47:14Z
dc.date.created2003-05
dc.date.issued2004-09-30
dc.identifier.urihttps://hdl.handle.net/1969.1/231
dc.description.abstractMany 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.extent3618214 bytesen
dc.format.extent122805 bytesen
dc.format.mediumelectronicen
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherTexas A&M University
dc.subjectocclusionen
dc.subjectcullingen
dc.subjectheight fieldsen
dc.subjectterrainsen
dc.titleHierarchical occlusion culling for arbitrarily-meshed height fieldsen
dc.typeBooken
dc.typeThesisen
thesis.degree.departmentComputer Scienceen
thesis.degree.disciplineComputer Scienceen
thesis.degree.grantorTexas A&M Universityen
thesis.degree.nameMaster of Scienceen
thesis.degree.levelMastersen
dc.contributor.committeeMemberAmato, Nancy
dc.contributor.committeeMemberHouse, Donald H.
dc.type.genreElectronic Thesisen
dc.type.materialtexten
dc.format.digitalOriginborn digitalen


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