The integration of multi-platform, multi-angle, and multi-temporal LiDAR data has become
important for geospatial data applications. This paper presents a comprehensive review of …

Within a large range of applications in computer vision, Human Action Recognition has
become one of the most attractive research fields. Ambiguities in recognizing actions does …

As a fundamental problem in computer vision, 3D point cloud registration (PCR) aims to
seek the optimal pose to align a point cloud pair. In this paper, we present a 3D registration …

As a fundamental and critical task in various visual applications, image matching can identify
then correspond the same or similar structure/content from two or more images. Over the …

Point cloud registration is a fundamental problem in 3D computer vision. Outdoor LiDAR
point clouds are typically large-scale and complexly distributed, which makes the …

A number of 3D local feature descriptors have been proposed in the literature. It is however,
unclear which descriptors are more appropriate for a particular application. A good …

3D object recognition in cluttered scenes is a rapidly growing research area. Based on the
used types of features, 3D object recognition methods can broadly be divided into two …

In many complex tasks, a remote subject-matter expert may need to assist a local user to
guide actions on objects in the local user's environment. However, effective spatial …

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 …