Non-Photorealistic Computer Graphics Library

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Found 40 item(s) of type "PhD Thesis".
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PhD Thesis Dynamic Presentations for Illustration Purposes
Roland Jesse.
Otto-von-Guericke-Universität Magdeburg, March, 2004. [BibTeX]

PhD Thesis Enhanced Visual Authoring Using Operation History
Sara L. Su.
Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2009. [BibTeX]

PhD Thesis Fast Techniques for Non Photorealistic Rendering
G. Di Blasi.
University of Catania, Italy, 2006. [BibTeX]

PhD Thesis Frame-Coherent 3D Stippling for Non-Photorealistic Computer Graphics
Oscar E. Meruvia Pastor.
Otto-von-Guericke-Universität Magdeburg, Germany, 2003. [BibTeX]

PhD Thesis High-Quality Visualization and Filtering of Textures and Segmented Volume Data on Consumer Graphics Hardware
Markus Hadwiger.
VRVis Research Center and Institute of Computer Graphics and Algorithms, Vienna University of Technology, 2004. [BibTeX]

PhD Thesis Higher Level Techniques for the Artistic Rendering of Images and Video
John P. Collomosse.
University of Bath, UK, May, 2004. [BibTeX]

PhD Thesis Human Facial Illustrations: Creation and Evaluation using Behavioral Studies and Functional Magnetic Resonance Imaging
Bruce Gooch.
University of Utah, July, 2003. [BibTeX]

PhD Thesis Hybrid Sketching: A New Middle Ground Between 2- and 3-D.
John Alex.
Massachusetts Institute of Technology, 2005. [BibTeX]

PhD Thesis Illustrating Transparency: communicating the 3D shape of layered transparent surfaces via texture
Victoria Interrante.
University of North Carolina, Chapel Hill, 1996. [BibTeX]

PhD Thesis Image-Based Pen-and-Ink Illustration

Author(s): Michael P. Salisbury.
PhD Thesis: Department of Computer Science and Engineering, University of Washington, Seattle, 1997.
[BibTeX] Find this paper on Google

Abstract:
This dissertation addresses the problem of creating pen-and-ink style illustrations on a computer by means of a high-level user interface. We present a system in which the user creates illustrations starting from greyscale images. The user specifies the texture and orientation of components within an image by interacting with a painting-style interface. The system then transforms the image into a pen-and-ink drawing by precisely placing and orienting the individual pen strokes that compose the illustration. By encoding the principles developed by pen-and-ink artists over decades, the system aims to support the creation of illustrations capable of much of the exibility and power of traditional pen and ink.

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