Hi I am currently reading:(adsbygoogle = window.adsbygoogle || []).push({});

http://www.cs.cornell.edu/~asaxena/learningdepth/saxena_ijcv07_learningdepth.pdf

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:

http://en.wikipedia.org/wiki/Completing_the_square

which don't really describe the techniques used on markov random fields.

**Physics Forums - The Fusion of Science and Community**

The friendliest, high quality science and math community on the planet! Everyone who loves science is here!

# Converting a Gaussian Markov random field

Loading...

Similar Threads - Converting Gaussian Markov | Date |
---|---|

How to convert a univariate distribution to bivariate distribution | Jun 19, 2015 |

Weighting calculation to convert weather data from 6 stations into one | Jun 24, 2013 |

How can I convert a rate of behavioral responses into a probability? | Mar 31, 2013 |

How to convert a gaussian distributed rnd sequence to uniform dist and viceversa | Dec 11, 2012 |

Converting Binomal cpk to a fair dice deviation. | Feb 23, 2012 |

**Physics Forums - The Fusion of Science and Community**