Scene understanding using multi-modal data is necessary in many applications, eg,
autonomous navigation. To achieve this in a variety of situations, existing models must be …

Point cloud registration is still a challenging and open problem. For example when the
overlap between two point clouds is extremely low geo-only features may be not sufficient …

A wide range of spacecraft operations in orbit relies on the precise and accurate estimation
of the relative attitude and position of target objects. This requirement is especially critical …

This study introduces a pioneering multimodal fusion framework to enhance near-field 3D
Synthetic Aperture Radar (SAR) imaging, crucial for applications like radar cross-section …

3D point cloud registration is a fundamental problem in computer vision, computer graphics,
robotics, remote sensing, and etc. Over the last thirty years, we have witnessed the amazing …

How to obtain internal cavity features and perform image matching is a great challenge for
laparoscopic 3D reconstruction. This paper proposes a method for detecting and associating …

As a fundamental problem in computer vision, 3D point cloud registration (PCR) aims to
seek the optimal transformation to align point cloud pairs. Meanwhile, the equivariance lies …

Manual facial rigging is time-consuming. Traditional automatic rigging methods lack either
3D datasets or explainable semantic parameters, which makes it difficult to retarget a certain …

Point clouds are collected nowadays from a plethora of sensors, some having higher
accuracies and higher costs, some having lower accuracies but also lower costs. Not only …

Stereo-camera-based navigation is highly used in broad environments due to its compact
size, low cost, and efficiency in capturing data in dynamic environments. This system is …