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dc.contributor.advisorAkleman, Ergun
dc.creatorAdams, Aaron Christopher
dc.date.accessioned2019-01-18T03:35:50Z
dc.date.available2019-01-18T03:35:50Z
dc.date.created2018-08
dc.date.issued2018-06-12
dc.date.submittedAugust 2018
dc.identifier.urihttp://hdl.handle.net/1969.1/173750
dc.description.abstractThis paper presents a methodology for sampling and rendering 3-dimensional (3D) volume data to give it the appearance of classical ink-and-paint techniques. Although tremendous strides have been made in the realm of realistic volume rendering, research on rendering techniques for non-photorealistic (NPR) images is limited and does not yield results that provides artists the ability to create and render volumes in a classical animation style. Currently, the industry standard is to render the volume using 3D volume data and the diffuse channel, or to provide a card and play an image sequence on the card. This paper discusses a technique that allows for the non-photorealistic rendering of 3D volume data which can be used to sample and shade a variety of shapes to create a stylized render of a volume, similar to classical ink-and-paint techniques. This approach can be summarized in the following steps: (1) Scatter point data within 3D volume data based off of density values, or create a custom point cloud; (2) Ray cast from the camera to the hit position of the volume; (3) From the hit position of the ray, cast towards a direction (either towards a light for shading, or continue in the same direction for a headlamp effect); and (4) Tally and normalize the number of scattered points within a radius of the direction of said ray; then (5) Use this value to interpolate between the lit color of the volume and the background color.en
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.subjectCartoonen
dc.subjectShadingen
dc.subjectNon-Photorealisticen
dc.subjectRenderingen
dc.titleDeveloping Generalized Volume Sampling and Volume Shading for Non-Photorealistic Renderingen
dc.typeThesisen
thesis.degree.departmentVisualizationen
thesis.degree.disciplineVisualizationen
thesis.degree.grantorTexas A & M Universityen
thesis.degree.nameMaster of Scienceen
thesis.degree.levelMastersen
dc.contributor.committeeMemberMcLaughlin, Tim
dc.contributor.committeeMemberKeyser, John
dc.type.materialtexten
dc.date.updated2019-01-18T03:35:50Z
local.etdauthor.orcid0000-0001-8957-6695


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