A new method for feature extraction and matching using the energy of Fourier basis

摘要

In this paper we have proposed a method, called the Fourier Feature Extractor (FFE) that relies on orthogonal sinusoidal bases for feature extraction. The response generated on projecting image intensity windows onto these sinusoidal bases is used for extract features. We use energy of Fourier basis to capture the intensity change around pixel points. By interpreting the amplitude values of Fourier basis we distinguish different interest points like, edge-point, corner-point, T-junctions. The method offers the flexibility to choose different kinds of interest points depending on the choice of basis function and energy values. The feature points detected are found to be geometrically stable under different transformations. The Fourier measure assigned during extraction can be used for matching of feature points between images and this make registration efficient.