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 …

PointNet has revolutionized how we think about representing point clouds. For classification
and segmentation tasks, the approach and its subsequent variants/extensions are …

PointNet has recently emerged as a popular representation for unstructured point cloud
data, allowing application of deep learning to tasks such as object detection, segmentation …

We present an approach to robust estimation of fundamental matrices from noisy data
contaminated by outliers. The problem is cast as a series of weighted homogeneous least …

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 …

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 …

Over the past years, 3D point cloud registration has attracted unprecedented attention.
Researchers develop various approaches to tackle the challenging task, such as …

Abstract The point cloud Registration Method is the Basis for 3D reconstruction and scenes
perception. After decades of development, it has been acquired in the fields of reverse …

Researchers have over time developed robotic feeding assistants to help at meals so that
people with disabilities can live more autonomous lives. Current commercial feeding …

The new generation 3D scanner devices have revolutionized the way information from 3D
objects is acquired, making the process of scene capturing and digitization straightforward …