Non-Photorealistic Computer Graphics Library

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Found 62 item(s) authored in "2006".
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Article Manga Colorization
Yingge Qu, Tien-Tsin Wong, Pheng-Ann Heng.
ACM Transcations on Graphics (Proc. of SIGGRAPH'06), Vol. 25, No. 3, pp. 1214--1220, July, 2006. [BibTeX]

PhD Thesis Methods for two dimensional stroke based painterly rendering. Effects and applications
Levente Kovács.
University of Pannonia, Veszprém, Hungary, 2006. [BibTeX]

Proceedings Modeling Plant Structures Using Concept Sketches
Fabricio Anastacio, Mario Costa Sousa, Faramarz Samavati, Joaquim A. Jorge.
NPAR '06: Proceedings of the 4th international symposium on Non-photorealistic animation and rendering, pp. 105--113, New York, NY, USA, June, ACM Press, 2006. [BibTeX]

Proceedings Multi-scale line drawings from 3D meshes
Alex Ni, Kyuman Jeong, Seungyong Lee, Lee Markosian.
SI3D '06: Proceedings of the 2006 symposium on Interactive 3D graphics and games, pp. 133--137, New York, NY, USA, ACM Press, 2006. [BibTeX]

Article Natural-looking strokes for drawing applications
Kyoko Murakami, Reiji Tsuruno, Etsuo Genda.
The Visual Computer, Vol. 22, No. 6, pp. 415--423, 2006. [BibTeX]

Proceedings Non-Photorealistic Rendering in Context: An Observational Study
Tobias Isenberg, Petra Neumann, M. Sheelagh T. Carpendale, Mario Costa Sousa, Joaquim A. Jorge.
NPAR '06: Proceedings of the 4th international symposium on Non-photorealistic animation and rendering, pp. 115--126, New York, NY, USA, June, ACM Press, 2006. [BibTeX]

Proceedings NPAR by Example: Line Drawing Facial Animation from Photographs
Yuan Luo, Marina L. Gavrilova, Mario Costa Sousa.
International Conference on Computer Graphics, Imaging and Visualisation (CGIV'06), pp. 514--521, Los Alamitos, CA, USA, IEEE Computer Society, 2006. [BibTeX]

Proceedings Organic Labyrinths and Mazes
Hans Pedersen, Karan Singh.
NPAR '06: Proceedings of the 4th international symposium on Non-photorealistic animation and rendering, pp. 79--86, New York, NY, USA, June, ACM Press, 2006. [BibTeX]

PhD Thesis Perceptually-motivated Non-Photorealistic Graphics

Author(s): Holger Winnemöller.
PhD Thesis: Northwestern University, Evanston, Illinois, U.S.A., 2006.
[BibTeX] Find this paper on Google

Abstract:
At a high level, computer graphics deals with conveying information to an observer by visual means. Generating realistic images for this task requires considerable time and computing resources. Human vision faces the opposite challenge: to distill knowledge of the world from a massive influx of visual information. It is reasonable to assume that synthetic images based on human perception and tailored for a given task can (1) decrease image synthesis costs by obviating a physically realistic lighting simulation, and (2) increase human task performance by omitting superfluous detail and enhancing visually important features. This dissertation argues that the connection between non-realistic depiction and human perception is a valuable tool to improve the effectiveness of computer-generated images to support visual communication tasks, and conversely, to learn more about human perception of such images. Artists have capitalized on non-realistic imagery to great effect, and have become masters of conveying complex and even abstract messages by visual means. The relatively new field of non-photorealistic computer graphics attempts to harness artists’ implicit expertise by imitating their visual styles, media, and tools, but only few works move beyond such simulations to verify the effectiveness of generated images with perceptual studies, or to investigate which stylistic elements are effective for a given visual communication task. This dissertation demonstrates the mutual beneficence of non-realistic computer graphics and perception with two rendering frameworks and accompanying psychophysical studies: (1) Inspired by low-level human perception, a novel image-based abstraction framework simplifies and enhances images to make them easier to understand and remember. (2) A non-realistic rendering framework generates isolated visual shape cues to study human perception of fast-moving objects. The first framework leverages perception to increase effectiveness of (non-realistic) images for visually-driven tasks, while the second framework uses non-realistic images to learn about task-specific perception, thus closing the loop. As instances of the bi-directional connections between perception and non-realistic imagery, the frameworks illustrate numerous benefits including effectiveness (e.g. better recognition of abstractions versus photographs), high performance (e.g. real-time image abstraction), and relevance (e.g. shape perception in non-impoverished conditions).

Proceedings Procedural Image Processing for Visualization
Xiaoru Yuan, Baoquan Chen.
Lecture Notes in Computer Science (2nd International Symposium on Visual Computing (ISVC). Lake Tahoe, Nevada. Nov 6-8), Vol. 4291, pp. 50--59, Springer Berlin / Heidelberg, 2006. [BibTeX]

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