Fast Construction of Covariance Matrices for Arbitrary Size Image Windows

@article{Porikli2006FastCO,
  title={Fast Construction of Covariance Matrices for Arbitrary Size Image Windows},
  author={Fatih Murat Porikli and Oncel Tuzel},
  journal={2006 International Conference on Image Processing},
  year={2006},
  pages={1581-1584}
}
We propose an integral image based algorithm to extract feature covariance matrices of all possible rectangular regions within a given image. Covariance is an essential indicator of how much the deviation of two or more variables match. In our case, these variables correspond to point-wise features, e.g. coordinates, color values, gradients, edge magnitude… CONTINUE READING

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