Eigenvectors, Eigenvalue, Data Science, Machine Learning, Principal Component.
there are 2 major sources of fairly orthogonal change (such as a corner) then there are 2 important axes of variance. Interpreting an image given the eigenvalues of the image’s gradients (source) Edges mean one direction will be stretched much more than the other (much higher eigenvalue than the