Abstract
As a step towards a local analysis of local image features, the position, peak value, and covariance matrix of an isolated, noise-free multivariate Gaussian are determined in closed form from four ‘observables’, computed by gaussian-weighted averaging first and second powers of (up to second order) partial derivatives of a digitized greyvalue distribution.
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Nagel, HH. (2006). On the Concept of a Local Greyvalue Distribution and the Adaptive Estimation of a Structure Tensor. In: Weickert, J., Hagen, H. (eds) Visualization and Processing of Tensor Fields. Mathematics and Visualization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-31272-2_3
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DOI: https://doi.org/10.1007/3-540-31272-2_3
Publisher Name: Springer, Berlin, Heidelberg
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