Point cloud registration is a research field where the spatial relationship between two or
more sets of points in space is determined. Point clouds are found in multiple applications …

Non-rigid point set registration has been used in a wide range of computer vision
applications such as human movement tracking, medical image analysis, three dimensional …

Two important aspects in dealing with autonomous navigation of a swarm of drones are
collision avoidance mechanism and formation control strategy; a possible competition …

Feature matching is one of the key techniques in many vision-based tasks, which aims to
establish reliable correspondences between two sets of features. In this paper, we present a …

In this article, we present a feature-based remote sensing (RS) image matching method
termed progressive motion coherence (PMC). We formulate the matching problem into a …

This paper describes a new non-rigid approach to register images from same-and cross-
imaging modalities such as magnetic resonance imaging, computed tomography, and 3D …

Image registration is a prerequisite for infrared (IR) and visible (VIS) image fusion. In
practical application, most scenes are not planar and there is significant distinctness …

In this paper, a new robust model fitting method is proposed to efficiently segment
multistructure data even when they are heavily contaminated by outliers. The proposed …

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 …

In recent years, 3D data has been widely used in archaeology and in the field of
conservation and restoration of cultural properties. Virtual restoration, which reconstructs the …