Eigenvectors, Eigenvalue, Data Science, Machine Learning, Principal Component.
Sigma is the scaling factor, u (tall skinny) and v (short long) are the vectors that when outer multiplied create a matrix (source) From this, we can also see that our image can be rectangular and SVD still works (unlike generic eigendecomposition). The original image can be created by stacking