Matching by local invariants

This paper presents a matching method which is based on invariants of the luminance function. This makes matching possible in the case of important geometric transformations between images. The method is robust to occlusion, as local properties of the image signal are used. We propose to use differential measures invariant to rotations in a multi-scale framework. Promising results are obtained which might be used for a variety of applications