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Hybrid computational voxelization using the graphics pipeline

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dc.contributor.advisor Bailey, Michael J.
dc.creator Rauwendaal, Randall
dc.date.accessioned 2012-12-04T21:36:15Z
dc.date.available 2012-12-04T21:36:15Z
dc.date.copyright 2012-11-29
dc.date.issued 2012-11-29
dc.identifier.uri http://hdl.handle.net/1957/35463
dc.description Graduation date: 2013 en_US
dc.description.abstract This thesis presents an efficient computational voxelization approach that utilizes the graphics pipeline. Our approach is hybrid in that it performs a precise gap-free computational voxelization, employs fixed-function components of the GPU, and utilizes the stages of the graphics pipeline to improve parallelism. This approach makes use of the latest features of OpenGL and fully supports both conservative and thin voxelization. In contrast to other computational voxelization approaches, this approach is implemented entirely in OpenGL, and achieves both triangle and fragment parallelism through its use of both the geometry and fragment shaders. A novel approach utilizing the graphics pipeline to complement geometric triangle intersection computations is presented. By exploiting features of the existing graphics pipeline we are able to rapidly compute accurate scene voxelization in a manner that integrates well with existing OpenGL applications, is robust across many different models, and eschews the need for complex work/load-balancing schemes. en_US
dc.language.iso en_US en_US
dc.subject voxelization en_US
dc.subject.lcsh Rendering (Computer graphics) en_US
dc.subject.lcsh Three-dimensional imaging en_US
dc.title Hybrid computational voxelization using the graphics pipeline en_US
dc.type Thesis/Dissertation en_US
dc.degree.name Master of Science (M.S.) in Computer Science en_US
dc.degree.level Master's en_US
dc.degree.discipline Engineering en_US
dc.degree.grantor Oregon State University en_US
dc.contributor.committeemember Metoyer, Ronald
dc.contributor.committeemember Zhang, Eugene
dc.contributor.committeemember Skyllingstad, Eric
dc.description.peerreview no en_us


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