Principal Component Analysis

Gaussian shape is quantified by a symmetric 2-D tensor

• Just as 1-D Gaussians are described by their variance, 2-D gaussians are described by the above matrix.

  Variance terms along diagonal

  Covariance terms elsewhere

  Covariance terms are equal, since covariance operator is also symmetric