Non-Photorealistic Computer Graphics Library

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Found 22 item(s) authored by "Bruce Gooch" .
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Proceedings A Non-Photorealistic Lighting Model For Automatic Technical Illustration
Amy A. Gooch, Bruce Gooch, Peter Shirley, Elaine Cohen.
SIGGRAPH 98, pp. 447--452, July, 1998. [BibTeX]

Misc A Painterly Approach to Human Skin
Peter-Pike J. Sloan, Bruce Gooch, Bill Martin, Amy A. Gooch, Louise Bell.
Short Research paper, 2001. [BibTeX]

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

Proceedings Artistic Composition for Image Creation
Bruce Gooch, Erik Reinhard, Chris Moulding, Peter Shirley.
12th Eurographics Workshop on Rendering, pp. 83--88, London, UK, June, 2001. [BibTeX]

Proceedings Artistic Vision: Painterly Rendering Using Computer Vision Techniques
Bruce Gooch, Greg Coombe, Peter Shirley.
2nd International Symposium on Non-Photorealistic Animation and Rendering (NPAR'02), pp. 83--90, Annecy, France, June 3-5, 2002. [BibTeX]

Proceedings Enhancing perceived depth in images via artistic matting
Amy A. Gooch, Bruce Gooch.
1st Symposium on Applied perception in graphics and visualization, 2004. [BibTeX]

PhD Thesis Human Facial Illustrations: Creation and Evaluation using Behavioral Studies and Functional Magnetic Resonance Imaging

Author(s): Bruce Gooch.
PhD Thesis: University of Utah, July, 2003.
[BibTeX] Find this paper on Google

This dissertation presents: a method for creating black-and-white illustrations and caricatures of human faces from source photographs; and series of perceptual studies aimed at evaluating the effectiveness of the resulting images relative to photographs. The illustrations are generated by superimposing two images: a thresholded image of the output of a computational brightness model, and a thresholded luminance image. In addition, a new interactive technique is demonstrated for deforming images of faces to create caricatures that highlight and exaggerate representative facial features. The photographs and black-and-white illustrations are evaluated via psychophysical studies to assess speed and accuracy in learning and recognition tasks. These studies show that the facial illustrations and caricatures generated using these techniques are as e ective as photographs in the recognition tasks. In the learning studies, tasks involving illustrations or caricatures were performed significantly faster than the same tasks were performed with photographs. The recognition invariance effect is used as an experimental probe in a functional magnetic resonance imaging (fMRI) experiment. The results of this experiment indicate that viewers may process illustrations differently from photographs.

Article Human Facial Illustrations: Creation and Psychophysical Evaluation
Bruce Gooch, Erik Reinhard, Amy A. Gooch.
ACM Transactions on Graphics, Vol. 23, No. 1, pp. 27--44, January, 2004. [BibTeX]

Proceedings Interactive 3D Fluid Jet Painting
Sangwon Lee, Sven C. Olsen, Bruce Gooch.
NPAR '06: Proceedings of the 4th international symposium on Non-photorealistic animation and rendering, pp. 97--104, New York, NY, USA, June, ACM Press, 2006. [BibTeX]

Proceedings Interactive Artistic Rendering
Matthew Kaplan, Bruce Gooch, Elaine Cohen.
1st International Symposium on Non-Photorealistic Animation and Rendering (NPAR'00), pp. 67--74, Annecy, France, June 05 - 07, 2000. [BibTeX]

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