Non-Photorealistic Computer Graphics Library

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Found 6 item(s) matching "depiction" in title.

Proceedings A Few Good Samples: Shape & Tone Depiction for Hermite RBF Implicits
Emilio Vital Brazil, Ives Ma\^cedo, Mario Costa Sousa, Luiz Velho, Luiz Henrique de Figueiredo.
Proceedings of the 8th International Symposium on Non-Photorealistic Animation and Rendering (NPAR'10), pp. 7--15, ACM, 2010. [BibTeX]

Proceedings An Invitation to Discuss Computer Depiction
Frédo Durand.
2nd International Symposium on Non-Photorealistic Animation and Rendering (NPAR'02), Annecy, France, June 3-5, 2002. [BibTeX]

Proceedings Comics-Like Motion Depiction from Stereo
Danijela Markovic, Margrit Gelautz.
14th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision (WSCG'06), pp. 155--160, 2006. [BibTeX]

In Collection Perceptual and Artistic Principles for Effective Computer Depiction
Maneesh Agrawala, Frédo Durand, Bruce Gooch, Victoria Interrante, Victor Ostromoukhov, Denis Zorin.
SIGGRAPH 2002, ACM Press, Course #13, San Antonio, Texas, 2002. [BibTeX]

Article Stylized Depiction in Mixed Reality
Jan Fischer, Michael Haller, Bruce H. Thomas.
International Journal of Virtual Reality, Vol. 7, No. 4, pp. 71--79, December, 2008. [BibTeX]

Proceedings Stylized Depiction of Images Based on Depth Perception

Author(s): Jorge Lopez-Moreno, Jorge Jimenez, Sunil Hadap, Erik Reinhard, Ken Anjyo, Diego Gutierrez.
Proceedings: NPAR '10 Proceedings of the 8th International Symposium on Non-Photorealistic Animation and Rendering, 2010.
[BibTeX] [DOI] Find this paper on Google

Abstract:
Recent works in image editing are opening up new possibilities to manipulate and enhance input images. Within this context, we leverage well-known characteristics of human perception along with a simple depth approximation algorithm to creatively relight images for the purpose of generating non-photorealistic renditions that would be difficult to achieve with existing methods. Our realtime implementation on graphics hardware allows the user to efficiently explore artistic possibilities for each image. We show results produced with four different styles proving the versatility of our approach, and validate our assumptions and simplifications by means of a user study.

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