Non-Photorealistic Computer Graphics Library

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Found 26 item(s) of type "Master Thesis".
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Master Thesis A Framework for Non-Realistic Projections
Jonathan Levene.
Massachusetts Institute of Technology, May, 1998. [BibTeX]

Master Thesis A shader based approach to painterly rendering
Kaushik Pal.
Texas A&M University, 2004. [BibTeX]

Master Thesis Apparent ridges for line drawing
Tilke Judd.
Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2007. [BibTeX]

Master Thesis Applying Color Science to Computer Graphics
Kenneth Paul Fishkin.
Berkeley Computer Graphics Laboratory, University of California, 1982. [BibTeX]

Master Thesis Artisic Vision: Automatic Digital Painting Using Computer Vision Algorithms
Bruce Gooch.
University of Utah, May, 2001. [BibTeX]

Master Thesis Artistic Rendering with Graphics Shaders
Lukas Lang.
Eastern Michigan University, Department of Computer Science, April, 2010. [BibTeX]

Master Thesis Automatic Rendering of 3D Animal Models in Chinese Painting Style
Jun-Wei Yeh.
National Taiwan University, 2002. [BibTeX]

Master Thesis Computational expressionism : a study of drawing with computation
Joanna Maria Berzowska.
Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, February, 1999. [BibTeX]

Master Thesis Expressive Painterly Rendering Through Image Processing

Author(s): Jason Douglas Waltman.
Master Thesis: School of Computing, University of Utah, May, 2004.
[BibTeX] Find this paper on Google

Abstract:
In real paintings, a human is in control of every aspect of the painting creation process and, as a result, these works of art are seemingly more valued than their photographic equivalents. The human painter is able not only to document a scene but also to add expressive elements—for example, a stylized abstraction combined with exaggerated brushwork—not possible in a photograph of the same scene. Automatic, computer-generated, photograph-to-painterly rendering techniques have been published now for over a decade. In general, these techniques produce images that lack characteristics found in paintings created by human hands. A new painterly rendering technique is presented which employs digital image processing, computer vision, and emulation of details found in works by painting masters in order to produce images with human expressive characteristics and important details found in real paintings.


Master Thesis Image Segmentation for Stylized Non-Photorealistic Rendering and Animation
Alexander Kolliopoulos.
University of Toronto, April, 2005. [BibTeX]

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