This paper presents a comprehensive literature review on point set registration. The state-of-
the-art modeling methods and algorithms for point set registration are discussed and …

We propose a novel end-to-end deep scene flow model, called PointPWC-Net, that directly
processes 3D point cloud scenes with large motions in a coarse-to-fine fashion. Flow …

Registration of multi-temporal remote sensing images has been widely applied in military
and civilian fields, such as ground target identification, urban development assessment, and …

We propose a novel end-to-end deep scene flow model, called PointPWC-Net, on 3D point
clouds in a coarse-to-fine fashion. Flow computed at the coarse level is upsampled and …

Advances in cryo-electron microscopy (cryo-EM) imaging technologies have led to a rapidly
increasing number of cryo-EM density maps. Alignment and comparison of density maps …

This study proposes a novel feature-guided Gaussian mixture model (FG-GMM) for image
matching, which generally requires matching two sets of feature points extracted from the …

As a fundamental yet challenging task in computer vision, finding correspondences between
two sets of feature points has received extensive attention. Among all the proposed …

This paper proposes an effective method for accurately recovering vessel structures and
intensity information from the X-ray coronary angiography (XCA) images of moving organs …

Image registration plays an important role in military and civilian applications, such as
natural disaster damage assessment, environmental monitoring, ground change detection …

Tree species diversity plays a significant role in our ecosystem. In order to monitor forest
dynamics, hyperspectral remote sensing equipped on a small unmanned aerial vehicle …