Lucas Fidon edited subsection_Approximation_of_probability_distribution__.tex  almost 8 years ago

Commit id: 729d6e0bc67b663bbdb1e5f1ee079b675d32791e

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\[P((x,y),T) = \sum_{(x',y')\in T}K((x,y),(x',y'))\]  where $K$ is a gaussian kernel. In practice we take a discrete gaussian kernel filter for $K$, given by the 3x3 matrix:  \[ K M_{K}  = \left| \begin{array}{ccc} 0.0625 & 0.125 & 0.0625 \\  0.125 & 0.25 & 0.125 \\  0.0625 & 0.125 & 0.0625 \end{array} \right|.\]