Image registration is widely used in many fields, but the adaptability of the existing methods
is limited. This work proposes a novel image registration method with high precision for …

An invariant feature matching method is proposed as a spatially invariant feature matching
approach. Deformation effects, such as affine and homography, change the local information …

A new edge-based approach for efficient image registration is proposed. The proposed
approach applies wavelet transform to extract a number of feature points as the basis for …

Feature matching, which refers to finding the correct correspondences from two sets of
features, is an important step in feature-based image registration. In this letter, an accurate …

Feature matching is a key method of feature-based image registration, which refers to
establishing reliable correspondence between feature points extracted from two images. In …

We present a method based on a robust two-layer cascade reciprocal pipeline (TCPR) and
the context-aware dissimilarity measure (CADM) for feature-based image registration. We …

Feature detection and matching are crucial for robust and reliable image registration.
Although many methods have been developed, they commonly focus on only one class of …

Evaluating image registration methods in images with dense feature points is challenging,
because it's hard to discriminate real inliers in thousands of resulting correspondences …

It is difficult to find correct correspondences for infrared and visible image registration
because of different imaging principles. Traditional registration methods based on the point …

Image registration (IR) aims to geometrically match one image to another. It is extensively
used in many imaging applications. Among many existing IR methods, one widely used …