• Corpus ID: 16931285

Markov Random Field Image Models and Their Applications to Computer Vision

@inproceedings{Geman2010MarkovRF,
  title={Markov Random Field Image Models and Their Applications to Computer Vision},
  author={Stuart Geman},
  year={2010}
}
1. Introduction. Computer vision refers to a variety of applications involving a sensing device, a computer, and software for restoring and possibly interpreting the sensed data. Most commonly, visible light is sensed by a video camera and converted to an array of measured light intensities, each element corresponding to a small patch in the scene (a picture element, or "pixel"). The image is thereby "digitized," and this format is suitable for computer analysis. In some applications, the… 

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