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dc.contributor.advisorParke, Frederic
dc.creatorSharma, Suruchi
dc.date.accessioned2013-12-16T20:13:18Z
dc.date.available2013-12-16T20:13:18Z
dc.date.created2013-08
dc.date.issued2013-08-01
dc.date.submittedAugust 2013
dc.identifier.urihttps://hdl.handle.net/1969.1/151313
dc.description.abstractThis study develops an approach to developing surface shading for computer-generated 3D head models that adapts aesthetics from the post-impressionist portrait painting style of Vincent Van Gogh. This research is an attempt to reconcile a 2D expressionist style of painting and 3D digital computer generated imagery. The focus of this research is on developing a surface shading methodology for creating 3D impasto painterly renderings informed by Van Gogh’s self-portrait paintings. Visual analysis of several of Van Gogh’s self-portraits reveal the characteristics of his overall rendering style that are essential in designing methods for shading and texturing 3D head models. A method for shading is proposed using existing surfacing and rendering tools to create 3D digital heads rendered in Van Gogh’s style. The designed shading methodology describes procedures that generate brushstroke patterns. User controls for brushstroke profile, size, color and direction are provided to allow variations in the brushstroke patterns. These patterns are used to define thick oil paint surface properties for 3D digital models. A discussion of the range of results achieved using the designed shading methodology reveal the variations in the rendering style that can be achieved, which reflects a wide range of expressive 3D portrait rendering styles. Therefore, this study is useful in understanding Van Gogh’s expressive portrait painting style and in applying the essence of his work to synthesized 3D portraits.en
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.subjectShadingen
dc.subjectVan Goghen
dc.titleA Van Gogh inspired 3D Shader Methodologyen
dc.typeThesisen
thesis.degree.departmentVisualizationen
thesis.degree.disciplineVisualizationen
thesis.degree.grantorTexas A & M Universityen
thesis.degree.nameMaster of Scienceen
thesis.degree.levelMastersen
dc.contributor.committeeMemberDavison, Richard R.
dc.contributor.committeeMemberCaffey, Stephen
dc.type.materialtexten
dc.date.updated2013-12-16T20:13:18Z


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