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Discontinuities in MRFs

  • Stan Z. Li
Part of the Computer Science Workbench book series (WORKBENCH)

Abstract

Smoothness is a generic assumption underlying a wide range of physical phenomena. It characterizes the coherence and homogeneity of matter within a scope of space (or an interval of time). It is one of the most common assumptions in computer vision models, in particular, those formulated in terms of Markov random fields (MRFs) (Geman and Geman 1984; Elliott et al. 1984; Marroquin 1985) and regularization (Poggio et al. 1985). Its applications are seen widely in image restoration, surface reconstruction, optical flow and motion, shape from X, texture, edge detection, region segmentation, visual integration and so on.

Keywords

Euler Equation Gradient Descent Anisotropic Diffusion Step Edge Line Process 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Japan 2001

Authors and Affiliations

  • Stan Z. Li
    • 1
  1. 1.Beijing Sigma CenterMicrosoft Research ChinaBeijingChina

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