Non-Photorealistic Computer Graphics Library

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Found 117 item(s) authored in "2005".
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Article Erratum: Synthesis of facial caricature using eigenspaces
Guang Zhe Xu, Masahide Kaneko, Akira Kurematsu.
Electronics and Communications in Japan (Part III: Fundamental Electronic Science), Vol. 88, No. 2, pp. 64--76, February, 2005. [BibTeX]

Article Example-Based Color Stylization of Images
Youngha Chang, Suguru Saito, Keiji Uchikawa, Masayuki Nakajima.
ACM Transactions on Applied Perception (TAP), Vol. 2, No. 3, pp. 322--345, July, 2005. [BibTeX]

Proceedings Example-based color transformation for image and video
Youngha Chang, Suguru Saito, Masayuki Nakajima.
3rd International Conference on Computer Graphics and Interactive Techniques in Australasia and South East Asia (GRAPHITE'05), pp. 347--353, Dunedin, New Zealand, 2005. [BibTeX]

Proceedings Example-based Volume Illustrations
Aidong Lu, David Ebert.
IEEE Visualization 2005, 2005. [BibTeX]

Technical Report Expressive Distortion of Strokes and 3D Meshes
Petra Neumann, Tobias Isenberg, M. Sheelagh T. Carpendale, Thomas Strothotte.
Department of Computer Science, University of Calgary, No. Technical Report 2005-776-07, Canada, March, 2005. [BibTeX]

Proceedings Expressive Line Selection by Example
Erik Lum, Kwan-Liu Ma.
13th Pacific Conference on Computer Graphics and Applications (PG'05), 2005. [BibTeX]

Proceedings Fast Techniques for Mosaic Rendering
G. Gallo, G. Di Blasi, M. Petralia.
EuroGraphics Workshop on Computational Aesthetics in Graphics, Visualization and Imaging (CA'05), pp. 29--39, Girona, Spain, 18-20 May, 2005. [BibTeX]

Article Feature- and region-based auto painting for 2D animation

Author(s): Jie Qiu, Hock Soon Seah, Feng Tian, Zhongke Wu, Quan Chen.
Article: The Visual Computer, Vol. 21, No. 11, pp. 928--944, October, 2005.
[BibTeX] Find this paper on Google

Abstract:
This paper presents a novel approach to automating the entire coloring process in traditional cel animation production. A feature-based region-matching algorithm is proposed. It first matches a set of master frames to construct correspondences between regions in the master frames and extract a stable topology. The first frame of each scene is then colored based on the set of master frames. With the painted first frame and established stable topology, each region in subsequent frames is matched with regions in the previous frames and colored. Compared with other algorithms, our approach is able to handle bigger changes between frames and automatically color the first frame of each sequence.

Technical Report G-Strokes: A Concept for Simplifying Line Stylization
Tobias Isenberg, Angela Brennecke.
Department of Computer Science, University of Calgary, No. 2005-780-11, Canada, April, 2005. [BibTeX]

Proceedings Genetic Paint: A Search for Salient Paintings
John P. Collomosse, Peter M. Hall.
EvoMUSART (at EuroGP), Springer Lecture Notes in Computer Science, Vol. 3449, pp. 437--447, Lausanne, March, 2005. [BibTeX]

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