Artistic Surface Rendering Using Layout of Text
Tatiana Surazhsky, Gershon Elber.
Computer Graphics Forum, Vol. 21, No. 2, pp. 99--110,
2002. [BibTeX]
Artistic Vision: Painterly Rendering Using Computer Vision Techniques
Bruce Gooch, Greg Coombe, Peter Shirley.
2nd International Symposium on Non-Photorealistic Animation and Rendering (NPAR'02), pp. 83--90, Annecy, France, June 3-5,
2002. [BibTeX]
Automated mosaics via topology inference
Steve Hsu, Harpreet S. Sawhney, Rakesh Kumar.
IEEE Computer Graphics and Applications, Vol. 22, No. 2, pp. 44--54, March-April,
2002. [BibTeX]
Automatic Generation and Non-Photorealistic Rendering of 2+1D Minkowski Diagrams
Joachim Diepstraten, Daniel Weiskopf, Thomas Ertl.
Proc. of WSCG '02,
2002. [BibTeX]
Automatic image-based pencil sketch rendering
Wang Jin, Bao Hujun, Zhou Weihua, Peng Qunsheng, Xu Yingging.
Journal of Computer Science and Technology, Vol. 17, No. 3, pp. 347--355, May,
2002. [BibTeX]
Automatic Rendering of 3D Animal Models in Chinese Painting Style
Jun-Wei Yeh.
National Taiwan University,
2002. [BibTeX]
B-Spline Wavelet Paint
Luiz Velho, Ken Perlin.
Revista de Informatica Teorica e Aplicada (RITA), Vol. IX, No. 2, pp. 100--119,
2002. [BibTeX]
Bringing Pictorial Space to Life: Computer Techniques for the Analysis of Paintings
Antonio Criminisi, Martin Kemp, Andrew Zisserman.
CHArt Annual Conference 2002: Digital Art History? Exploring Practice in a Network Society, London, UK, November,
2002. [BibTeX]
Cartoon Dioramas in Motion
Ramesh Raskar, Remo Ziegler, Thomas Willwacher.
2nd International Symposium on Non-Photorealistic Animation and Rendering (NPAR'02), Annecy, France, June 3-5,
2002. [BibTeX]
Cartoon Motion Capture by Shape Matching
Author(s): Hongbin Wang, Hua Li.
Proceedings: 10th Pacific Conference on Computer Graphics and Applications (PG'02), pp. 454--456,
2002.
[BibTeX]
Abstract:
This paper presents a novel approach for cartoon motion
capture from traditionally hand drawn cartoon animations.
Unlike previous methods based on skeletal model
or key-shape representation, the motion of cartoon character
is represented by global affine transformation and local
non-affine deformation using thin-plate splines (TPS). The
shape of cartoon character is represented by its contour. We
directly match shapes between adjacent cartoon frames (or
key frames), and retarget recovered motion to a new character,
which will move like original one. The novelty of our
approach lies in the ability to capture and retarget cartoon
motion by shape matching without prior model. Results are
presented to show its ability.