Abstract:

The SIFT descriptor is only partially invariant to illumination when extracting the local features of the image. In particular, the SIFT descriptor is not invariant to non-linear illumination changes and cannot accurately extract the feature points or few of them can be extracted from the fuzzy object image. In order to solve these problems, a new anti-fuzzy local feature descriptor is proposed that is consistent with the visual cognition process of the human visual system from bottom-top and top-down. Experimental results suggest that the proposed operator is robust to the changes of illumination conditions, and more feature points can be extracted accurately from the fuzzy object image. The proposed operator retains the advantages of SIFT descriptors such as invariance of scaling, rotation and compression, and can significantly improve the matching rate on fuzzy images.

Key words: feature descriptor, feature point matching, image matching, object recognition