On Local Region Models and a Statistical Interpretation of the Piecewise Smooth Mumford-Shah Functional

Author:

Brox Thomas,Cremers Daniel

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Reference35 articles.

1. Ambrosio, L., & Tortorelli, V. (1990). Approximation of functionals depending on jumps by elliptic functionals via Γ-convergence. Communications on Pure and Applied Mathematics, XLIII, 999–1036.

2. Blake, A., & Zisserman, A. (1987). Visual Reconstruction. Cambridge: MIT Press.

3. Boykov, Y., Veksler, O., & Zabih, R. (2001). Fast approximate energy minimization via graph cuts. IEEE Transactions on Pattern Analysis and Machine Intelligence, 23(11), 1222–1239.

4. Brox, T. (2005). From pixels to regions: partial differential equations in image analysis. Ph.D. thesis, Faculty of Mathematics and Computer Science, Saarland University, Germany.

5. Brox, T., & Cremers, D. (2007a). On local region models and the statistical interpretation of the piecewise smooth Mumford-Shah functional. Supplementary online material. Available at http://www-cvpr.iai.uni-bonn.de/pub/pub/brox_ijcv08_sup.pdf .

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