Cyclic Schemes for PDE-Based Image Analysis

Author:

Weickert Joachim,Grewenig Sven,Schroers Christopher,Bruhn Andrés

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Reference70 articles.

1. Abramowitz, M., & Stegun, I. A. (Eds.). (1972). Orthogonal polynomials (Chapter 22). Handbook of mathematical functions with formulas, graphs, and mathematical tables (9th printing) (pp. 771–802). New York: Dover.

2. Alcantarilla, P. F., & Bartoli, A. (2013). Fast explicit diffusion for accelerated features in nonlinear scale spaces. In T. Burghardt, D. Damen, W. Mayol-Cuevas, & M. Mirmehdi (Eds.), Proceedings of 2013 British Machine Vision Conference (pp. 13.1–13.11). Bristol: BMVA Press.

3. Alexiades, V. (1995). Overcoming the stability restriction of explicit schemes via super-time-stepping. Proceedings of Dynamic Systems and Applications, Atlanta, Georgia, 2, 39–44.

4. Alexiades, V., Amiez, G., & Gremaud, P. A. (1996). Super-time-stepping acceleration of explicit schemes for parabolic problems. Communications in Numerical Methods in Engineering, 12, 31–42.

5. Anderssen, R.S., & Golub, G. H. (1972). Richardson’s non-stationary matrix iterative procedure. Technical Report, STAN-CS-72-304, Computer Science Department, Stanford University.

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