Fig. 2.

Feature extraction from a single image. In this example, feature extraction has been performed at a scale σ = 4 pixels. The resulting partial feature vector has four components: the smoothed image (a), the gradient magnitude (b), and the first (c) and second eigenvalues (d) of the Hessian matrices. Feature extraction is also performed at several other scales (not shown) to obtain the complete feature vector