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Diffusion of vector field

posted May 11, 2011, 2:02 PM by Teng-Yok Lee   [ updated May 11, 2011, 2:19 PM ]
This paper is related to our IEEE Vis'10 paper, whose aim is to reconstruct the vector field from user-specified streamlines and critical points. The related papers are:

Gradient Force Snake

  1. C. Xu and J. L. Prince. Gradient vector flow: A new external force for snakes. In CVPR ’97: Proceedings of the IEEE Computer Vision and Pattern Recognition 1997, page 66, 1997.

Diffusion Curves

  1. Alexandrina Orzan, Adrien Bousseau, Holger Winnem\&\#246;ller, Pascal Barla, Jo\&\#235;lle Thollot, and David Salesin. 2008. Diffusion curves: a vector representation for smooth-shaded images. ACM Trans. Graph. 27, 3, Article 92 (August 2008), 8 pages. DOI=10.1145/1360612.1360691
  2. S. Jeschke, D. Cline, and P. Wonka. A GPU Laplacian solver for diffusion curves and poisson image editing. ACM Transactions on Graphics, 28(5):1–8, 2009.
  3. Hedlena Bezerra, Elmar Eisemann, Doug DeCarlo, and Jo\&\#235;lle Thollot. 2010. Diffusion constraints for vector graphics. In Proceedings of the 8th International Symposium on Non-Photorealistic Animation and Rendering (NPAR '10). ACM, New York, NY, USA, 35-42. DOI=10.1145/1809939.1809944
Also, the level-set-based methods should be collected too.