Volume visualization and volume painting of large data sets

Simple item page
dc.contributor.advisorWarren, Joe
dc.creatorLavu, Sridhar
dc.date.accessioned2018-12-03T18:32:37Z
dc.date.available2018-12-03T18:32:37Z
dc.date.issued2009
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.
dc.format.extent125 pp
dc.identifier.callnoTHESIS COMP.SCI. 2009 LAVU
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>.
dc.identifier.digital304987612
dc.identifier.urihttps://hdl.handle.net/1911/103684
dc.language.isoeng
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.
dc.subjectComputer science
dc.subjectApplied sciences
dc.titleVolume visualization and volume painting of large data sets
dc.typeThesis
dc.type.materialText
thesis.degree.departmentComputer Science
thesis.degree.disciplineEngineering
thesis.degree.grantorRice University
thesis.degree.levelMasters
thesis.degree.nameMaster of Science
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
304987612.pdf
Size:
3.34 MB
Format:
Adobe Portable Document Format
Download
Collections
Rice University Electronic Theses and Dissertations