Volume visualization and volume painting of large data sets

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dc.contributor.advisorWarren, Joeen_US
dc.creatorLavu, Sridharen_US
dc.date.accessioned2018-12-03T18:32:37Zen_US
dc.date.available2018-12-03T18:32:37Zen_US
dc.date.issued2009en_US
dc.description.abstractVolume visualization of large volume data sets is traditionally based on surface fitting algorithms. With recent advances in graphics computation and memory capabilities, direct volume rendering techniques to produce interactive volume rendering for large data sets have become feasible. We implement a custom texture based volume rendering algorithm that takes advantage of the advanced graphics hardware capabilities. Volume masking is used in volume visualization to visualize and distinguish the different regions of interest in a volume data set. Generating volume masks is a tedious and time intensive process. We propose a new approach for generating volume masks using a volume painting approach. The volume masking relies on a material mapping to map the different mask values in the volume mask to different regions and colors. We build a custom cross-platform visualization application to support interactive volume visualization and volume painting for large volume data sets.en_US
dc.format.extent125 ppen_US
dc.identifier.callnoTHESIS COMP.SCI. 2009 LAVUen_US
dc.identifier.citationLavu, Sridhar. "Volume visualization and volume painting of large data sets." (2009) Master’s Thesis, Rice University. <a href="https://hdl.handle.net/1911/103684">https://hdl.handle.net/1911/103684</a>.en_US
dc.identifier.digital304987612en_US
dc.identifier.urihttps://hdl.handle.net/1911/103684en_US
dc.language.isoengen_US
dc.rightsCopyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.en_US
dc.subjectComputer scienceen_US
dc.subjectApplied sciencesen_US
dc.titleVolume visualization and volume painting of large data setsen_US
dc.typeThesisen_US
dc.type.materialTexten_US
thesis.degree.departmentComputer Scienceen_US
thesis.degree.disciplineEngineeringen_US
thesis.degree.grantorRice Universityen_US
thesis.degree.levelMastersen_US
thesis.degree.nameMaster of Scienceen_US
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