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]
Methods for two dimensional stroke based painterly rendering. Effects and applications
Levente Kovács.
University of Pannonia, Veszprém, Hungary,
2006. [BibTeX]
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]
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]
Natural-looking strokes for drawing applications
Kyoko Murakami, Reiji Tsuruno, Etsuo Genda.
The Visual Computer, Vol. 22, No. 6, pp. 415--423,
2006. [BibTeX]
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]
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]
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]
Perceptually-motivated Non-Photorealistic Graphics
Holger Winnemöller.
Northwestern University, Evanston, Illinois, U.S.A.,
2006. [BibTeX]
Procedural Image Processing for Visualization
Author(s): Xiaoru Yuan, Baoquan Chen.
Proceedings: 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] [DOI]
Abstract:
We present a novel Procedural Image Processing (PIP) method and demonstrate its applications in visualization. PIP modulates the sampling positions of a conventional image processing kernel (e.g. edge detection filter) through a procedural perturbation function. When properly designed, PIP can produce a variety of styles for edge depiction, varying on width, solidity, and pattern, etc. In addition to producing artistic stylization, in this paper we demonstrate that PIP can be employed to achieve various visualization tasks, such as contour enhancement, focus+context visualization, importance driven visualization and uncertainty visualization.
PIP produces unique effects that often either cannot be easily achieved through conventional filters or would require multiple pass filtering. PIP perturbation functions are either defined by analytical expressions or encoded in pre-generated images. We leverage the programmable fragment shader of the current graphics hardware for achieving the operations in real-time.