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Converting a Gaussian Markov random field

  1. Jun 19, 2010 #1
    Hi I am currently reading:


    which deals with reconstructing depth from a single still image.

    A gaussian multiscale markov random field is trained in a supervised context where the model is shown below:

    http://img534.imageshack.us/img534/1259/combineda.jpg [Broken]

    now this model is converted into a standard multivariate gaussian (indicated by the arrow) but how is that conversion possible? I have read that it basically is a matter of completing the square but is there some more detailed explanation for this somewhere besides:


    which don't really describe the techniques used on markov random fields.
    Last edited by a moderator: May 4, 2017
  2. jcsd
  3. Jun 20, 2010 #2
    I'm not really familiar with image generation using Markov random fields. The following paper discusses approaches using a Bayesian approach. Perhaps it will be useful to you.

    http://www.scss.tcd.ie/JiWon.Yoon/papers/MRF/Image%20segmentation%20image.pdf [Broken]
    Last edited by a moderator: May 4, 2017
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