Point set registration (PSR) is the process of computing a spatial transformation that
optimally aligns pairs of point sets. The method helps to amalgamate multiple datasets into a …

Coherent point drift is a well-known algorithm for solving point set registration problems, ie,
finding corresponding points between shapes represented as point sets. Despite its …

Image registration is an important technique in many computer vision applications such as
image fusion, image retrieval, object tracking, face recognition, change detection and so on …

Learning non-rigid registration in an end-to-end manner is challenging due to the inherent
high degrees of freedom and the lack of labeled training data. In this paper, we resolve …

Point set registration (PSR) is a key component of computer vision and pattern recognition
tasks, with the goal of assigning correspondence and recovering the transformation that …

Retinal image registration, which combines the information of retinal images from different
modalities, viewpoints or times, plays an important role in diagnosing and treating many eye …

Image matching is one of the hottest research topics in the field of computer vision, and it
aims to compute the correct feature correspondences between images; however, under the …

Feature matching is a critical problem in the field of computer vision, which serves as the
foundation for many high-level computer vision applications. This article aims to improve the …

This paper presents a novel medical image registration algorithm named total variation
constrained graph-regularization for non-negative matrix factorization (TV-GNMF). The …

Non-rigid point set registration is a fundamental problem in many fields related to computer
vision, medical image processing, and pattern recognition. In this paper, we develop a new …