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dc.contributor.advisorAkleman, Ergun
dc.creatorChan, Ching
dc.date.accessioned2012-06-07T15:43:48Z
dc.date.available2012-06-07T15:43:48Z
dc.date.created2000
dc.date.issued2000
dc.identifier.urihttps://hdl.handle.net/1969.1/ETD-TAMU-2000-THESIS-C379
dc.descriptionDue to the character of the original source materials and the nature of batch digitization, quality control issues may be present in this document. Please report any quality issues you encounter to digital@library.tamu.edu, referencing the URI of the item.en
dc.descriptionIncludes bibliographical references (leaves 44-45).en
dc.descriptionIssued also on microfiche from Lange Micrographics.en
dc.description.abstractIn this thesis two computational approaches for creating Chinese painting are developed. The first approach uses an expressive paint tool that enables anyone to paint 2D Chinese paintings in real-time. The realistic rendering of paint strokes is achieved by creating a software model that mimics real ink and brushes. The input devices are a pressure-sensitive pen and tablet. This interface design is similar to painting with a real brush on paper. The second approach uses procedural shaders and commercially available 3D modeling and animation packages to create the look of ink on paper. This approach facilitates the efficient production of 3D Chinese painting animations as well as the ability to create stereoscopic Chinese paintings.en
dc.format.mediumelectronicen
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.publisherTexas A&M University
dc.rightsThis thesis was part of a retrospective digitization project authorized by the Texas A&M University Libraries in 2008. Copyright remains vested with the author(s). It is the user's responsibility to secure permission from the copyright holder(s) for re-use of the work beyond the provision of Fair Use.en
dc.subjectvisualization sciences.en
dc.subjectMajor visualization sciences.en
dc.titleTwo computational approaches for creating Chinese paintingen
dc.typeThesisen
thesis.degree.disciplinevisualization sciencesen
thesis.degree.nameM.S.en
thesis.degree.levelMastersen
dc.type.genrethesisen
dc.type.materialtexten
dc.format.digitalOriginreformatted digitalen


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