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ICASSP
2007
IEEE
15 years 3 months ago
Markov Random Field Energy Minimization via Iterated Cross Entropy with Partition Strategy
This paper introduces a novel energy minimization method, namely iterated cross entropy with partition strategy (ICEPS), into the Markov random field theory. The solver, which is...
Jue Wu, Albert C. S. Chung
80
Voted
EMMCVPR
2001
Springer
15 years 2 months ago
An Experimental Comparison of Min-cut/Max-flow Algorithms for Energy Minimization in Vision
After [15, 31, 19, 8, 25, 5] minimum cut/maximum flow algorithms on graphs emerged as an increasingly useful tool for exact or approximate energy minimization in low-level vision...
Yuri Boykov, Vladimir Kolmogorov
ICMCS
2007
IEEE
105views Multimedia» more  ICMCS 2007»
15 years 3 months ago
A New Energy Function for Segmentation and Compression
We propose a new DCT-based energy function EDCT for objectoriented segmentation and compression. By minimizing EDCT the best possible split of the image blocks can be found which ...
M. King, Zinovi Tauber, Ze-Nian Li
EMMCVPR
2003
Springer
15 years 2 months ago
Path Variation and Image Segmentation
We study a notion of variation for real valued two variable functions called the path variation and we discuss its application as a low-level image segmentation method. For this pu...
Pablo Andrés Arbeláez, Laurent D. Co...
ICPR
2008
IEEE
15 years 10 months ago
Continuous graph cuts for prior-based object segmentation
In this paper we propose a novel prior-based variational object segmentation method in a global minimization framework which unifies image segmentation and image denoising. The id...
Anders Heyden, Christian Gosch, Christoph Schn&oum...