Abstract:

We proposed a new method to extract invariant features from human face image. With the help of digital curve fitting, we represented face binary edge map with highorder polynomial and parabola segments. Then, the polar moment of the inertia of pixel block beside the curve segments was used to measure the difference between local texture and shape. From the analysis of the experimental result, it is concluded that compared with line edge map and parabola edge map, this method can give a better way to describe the feature distribution of face images.

Key words: edge extraction, curve fitting, highorder polynomial, polar moment of inertia