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Relaxation labelling

Relaxation labelling is an image treatment methodology. Its goal is to associate a label to the pixels of a given image or nodes of a given graph.
Wikipedia

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2010
2010
This paper proposes the sequential context inference (SCI) algorithm for Markov random field (MRF) image analysis. This algorithm… Expand
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Highly Cited
2007
Highly Cited
2007
  • J. Starck, A. Hilton
  • IEEE 11th International Conference on Computer…
  • 2007
  • Corpus ID: 1012491
This paper addresses the problem of estimating dense correspondence between arbitrary frames from captured sequences of shape and… Expand
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2006
2006
In this paper a new formulation of probabilistic relaxation labeling is developed using the theory of diffusion processes on… Expand
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2005
2005
Object recognition using graph-matching techniques can be viewed as a two-stage process: extracting suitable object primitives… Expand
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Highly Cited
2002
Highly Cited
2002
Abstract In this paper, an iterative statistical approach is proposed to fuse spectral information with spatial and temporal… Expand
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2000
2000
We address the problem of object recognition in computer vision. We propose an invariant representation of the model and scene in… Expand
1997
1997
Deterministic annealing and relaxation labeling algorithms for classification and matching are presented and discussed. A new… Expand
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1986
1986
Through consideration of the constraints governing the correspondence problem, a new relaxation labelling scheme is proposed… Expand
Review
1985
Review
1985
Abstract An important research topic in image processing and image interpretation methodology is the development of methods to… Expand
Highly Cited
1975
Highly Cited
1975
A technique is presented which allows nearly all of the garbage detection and collection activity to be performed by an… Expand