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» A general framework for low level vision
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SCALESPACE
2009
Springer
14 years 1 months ago
On Level-Set Type Methods for Recovering Piecewise Constant Solutions of Ill-Posed Problems
We propose a regularization method for solving ill-posed problems, under the assumption that the solutions are piecewise constant functions with unknown level sets and unknown leve...
Adriano DeCezaro, Antonio Leitão, Xue-Cheng...
AGENTS
1997
Springer
13 years 11 months ago
Linearly Anticipatory Autonomous Agents
Abstract. A special kind of anticipation is when an anticipated undesired situation makes an agent adapt its behavior in order to prevent that this situation will occur. In this ch...
Paul Davidsson
CVPR
2005
IEEE
14 years 8 months ago
Shock Filters Based on Implicit Cluster Separation
One of the classic problems in low level vision is image restoration. An important contribution toward this effort has been the development of shock filters by Osher and Rudin [1]...
Vinay P. Namboodiri, Subhasis Chaudhuri
CVPR
2010
IEEE
14 years 2 months ago
Disambiguating Visual Relations Using Loop Constraints
Repetitive and ambiguous visual structures in general pose a severe problem in many computer vision applications. Identification of incorrect geometric relations between images s...
Christopher Zach, Manfred Klopschitz, Marc Pollefe...
PAMI
2007
176views more  PAMI 2007»
13 years 6 months ago
Approximate Labeling via Graph Cuts Based on Linear Programming
A new framework is presented for both understanding and developing graph-cut based combinatorial algorithms suitable for the approximate optimization of a very wide class of MRFs ...
Nikos Komodakis, Georgios Tziritas