Non-Photorealistic Computer Graphics Library

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Found 14 item(s) authored by "Aaron Hertzmann" .
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Article A Survey of Stroke-Based Rendering
Aaron Hertzmann.
IEEE Computer Graphics and Applications, Vol. 23, No. 4, pp. 70--81, July/August, 2003. [BibTeX]

PhD Thesis Algorithms for Rendering in Artistic Styles
Aaron Hertzmann.
New York University, May, 2001. [BibTeX]

Proceedings Curve Analogies
Aaron Hertzmann, Nuria Oliver, Brian Curless, Steven M. Seitz.
Proceedings of the 13th Eurographics workshop on Rendering, 2002. [BibTeX]

Proceedings Fast Paint Texture
Aaron Hertzmann.
Proc. of NPAR 02, 2002. [BibTeX]

Proceedings Illustrating Smooth Surfaces
Aaron Hertzmann, Denis Zorin.
SIGGRAPH 2000 Conference Proceedings, pp. 517--526, New Orleans, Louisiana, July 23-28, 2000. [BibTeX]

Proceedings Image Analogies
Aaron Hertzmann, Charles Jacobs, Nuria Oliver, Brian Curless, David H. Salesin.
SIGGRAPH '01: Proceedings of the 28th annual conference on Computer graphics and interactive techniques, pp. 327--340, New York, NY, USA, ACM, 2001. [BibTeX]

In Collection Introduction to 3D Non-Photorealistic Rendering: Silhouettes and Outlines
Aaron Hertzmann.
SIGGRAPH 99, ACM Press, Course Notes, 1999. [BibTeX]

Proceedings Isophote Distance: A Shading Approach to Artistic Stroke Thickness
Todd Goodwin, Ian Vollick, Aaron Hertzmann.
NPAR '07: Proceedings of the 5th international symposium on Non-photorealistic animation and rendering, pp. 53--62, New York, NY, USA, ACM, 2007. [BibTeX]

In Collection Non-Photorealistic Rendering
Stuart Green, David H. Salesin, Simon Schofield, Aaron Hertzmann, Peter C. Litwinowicz, Amy A. Gooch, Cassidy J. Curtis, Bruce Gooch.
Siggraph 99, ACM Press, Course 17, 1999. [BibTeX]

Proceedings Paint By Relaxation

Author(s): Aaron Hertzmann.
Proceedings: Computer Graphics International (CGI'01), 2001.
[BibTeX] Find this paper on Google

Abstract:
We use relaxation to produce painted imagery from images and video. An energy function is first specified; we then search for a painting with minimal energy. The appeal of this strategy is that, ideally, we need only specify what we want, not how to directly compute it. Because the energy function is very difficult to optimize, we use a relaxation algorithm combined with search heuristics. This formulation allows us to specify painting style by varying the relative weights of energy terms. The basic energy function yields an economical style that conveys an image with few strokes. This style produces greater temporal coherence for video than previous techniques. The system allows as fine user control as desired: the user may interactively change the painting style, specify variations of style over an image, and/or add specific strokes to the painting.

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