Local feature matching aims to identify pixel-wise correspondences between a pair of
images and serves as an indispensable component of numerous visual applications …

We propose a novel cross-source point cloud registration (CSPR) method for USV-AAV
cooperation in lentic environments. In the wild outdoors, which is the typical working domain …

Recently, scene coordinate regression (SCoRe) approaches for visual localization have
been extensively investigated. However, current SCoRe methods are scene-specific and …

Prefabricated concrete slabs (PCS) are the horizontal components with the highest
prefabrication rates in the prefabricated building system, and their dimensional quality plays …

Structure from Motion (SfM) and visual localization in indoor texture-less scenes and
industrial scenarios present prevalent yet challenging research topics. Existing SfM methods …

Point cloud registration is a prerequisite for many applications in computer vision and
robotics. Most existing methods focus on pairwise registration of two point clouds with high …

We study the problem of the discrepancy between model predictions and image
measurements in the form of keypoint locations for perspective cameras. In this process, the …

Scarce feature points are a critical limitation affecting the accuracy and stability of
incremental structure from motion (SfM) in small-scale scenes. In this paper, we propose an …

We propose a method that is able to use the monocular zoom technology for real-scale 3-D
reconstruction of the scene. To reconstruct the scene, we take a sequence of zoomed-in and …

The planimetric drawing of excavations and cultural heritage has always been part of any
architectural project or archaeological campaign. The use of laser scanner and SfM …