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Everything about Structure tensor

Tensor related to gradients

In mathematics, the structure tensor, also referred to as the second-moment matrix, is a matrix derived from the gradient of a function. It describes the distribution of the gradient in a specified neighborhood around a point and makes the information invariant to the observing coordinates. The structure tensor is often used in image processing and computer vision. Wikipedia →

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  1. Read the overview: Structure tensorA 5-minute orientation
  2. Skim a recent paper: Cascaded structure tensor for robust baggage threat detectionInfluential work since 2022
  3. Pick up a classic book: The irreducible tensor method for molecular symmetry groupsThe most-reprinted book on the subject
  4. Read the landmark paper: Structure Tensor Total VariationCited 125 times
  5. Go sideways: Fractional anisotropyA closely related topic
  6. Go sideways: Companion matrixA closely related topic

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