Non-Photorealistic Computer Graphics Library

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Found 10 item(s) that are new.

Proceedings Stylized Depiction of Images Based on Depth Perception
Jorge Lopez-Moreno, Jorge Jimenez, Sunil Hadap, Erik Reinhard, Ken Anjyo, Diego Gutierrez.
NPAR '10 Proceedings of the 8th International Symposium on Non-Photorealistic Animation and Rendering, 2010. [BibTeX]

Proceedings Real-Time Hatching
Emil Praun, Hugues Hoppe, Matthew Webb, Adam Finkelstein.
SIGGRAPH 2001, 2001. [BibTeX]

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 Viewing Progress in Non-photorealistic Rendering through Heinlein's Lens
Amy A. Gooch, Jeremy Long, Li Ji, Anthony Estey, Bruce Gooch.
Proceedings of the 8th International Symposium on Non-Photorealistic Animation and Rendering (NPAR'10), pp. 165--171, ACM, 2010. [BibTeX]

Proceedings Artistic Reality: Fast Brush Stroke Stylization for Augmented Reality
Jan Fischer, Dirk Bartz, Wolfgang Straßer.
ACM Symposium on Virtual Reality Software and Technology (VRST), pp. 155--158, Monterey, November, 2005. [BibTeX]

Proceedings Illustrative Display of Hidden Iso-Surface Structures
Jan Fischer, Dirk Bartz, Wolfgang Straßer.
Proceedings of IEEE Visualization (VIS'05), pp. 663--670, Minneapolis, October, 2005. [BibTeX]

Article Evaluation of Real-World and Computer-Generated Stylized Facial Expressions

Author(s): Christian Wallraven, Heinrich H. Bülthoff, Douglas W. Cunningham, Jan Fischer, Dirk Bartz.
Article: ACM Transactions on Applied Perception (TAP), Vol. 4, No. 3, pp. 1544--3558, November, 2007.
[BibTeX] [DOI] Find this paper on Google

Abstract:
The goal of stylization is to provide an abstracted representation of an image that highlights specific types of visual information. Recent advances in computer graphics techniques have made it possible to render many varieties of stylized imagery efficiently making stylization into a useful technique, not only for artistic, but also for visualization applications. In this paper, we report results from two sets of experiments that aim at characterizing the perceptual impact and effectiveness of three different stylization techniques in the context of dynamic facial expressions. In the first set of experiments, animated facial expressions are stylized using three common techniques (brush, cartoon, and illustrative stylization) and investigated using different experimental measures. Going beyond the usual questionnaire approach, these experiments compare the techniques according to several criteria ranging from subjective preference to task-dependent measures (such as recognizability, intensity) allowing us to compare behavioral and introspective approaches. The second set of experiments use the same stylization techniques on real-world video sequences in order to compare the effect of stylization on natural and artificial stimuli. Our results shed light on how stylization of image contents affects the perception and subjective evaluation of both real and computer-generated facial expressions.

Proceedings Skin-Aware Stylization of Video Portraits
Deirdre O'Regan, A.C. Kokaram.
Conference for Visual Media Production (CVMP '09), pp. 35--44, 2009. [BibTeX]

Proceedings Artistic Stereo Imaging by Edge Preserving Smoothing
Giuseppe Papari, Patrizio Campisi, Patrick Le Callet, Nicolai Petkov.
IEEE 13th Digital Signal Processing Workshop and 5th IEEE Signal Processing Education Workshop (DSP/SPE'09), pp. 639--642, 2009. [BibTeX]

Article Artistic Edge and Corner Enhancing Smoothing
Giuseppe Papari, Nicolai Petkov, Patrizio Campisi.
IEEE Transactions on Image Processing, Vol. 16, No. 10, pp. 2449--2462, October, 2007. [BibTeX]

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