Feature vector field and feature matching

摘要

In this paper, we propose a feature vector field for images, which is built by the inner products and exterior products of image gradients. The feature vector field effectively represents image edges and feature points including corners and edge points with big curvature. Using the feature vector field, some novel descriptors are constructed for point matching and curve matching. The descriptors are all invariant to image Euclidean transformations and linear intensity changes. The experiments show that the descriptors also have a good adaptability to small image affine transformation, JPEG compression and nonlinear changes of intensity.