Multimodal image matching, which refers to identifying and then corresponding the same or
similar structure/content from two or more images that are of significant modalities or …

Nowadays, the field of mobile robotics has experienced an important evolution and these
robots are more commonly proposed to solve different tasks autonomously. The use of …

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 …

Research in the field of medical image is an important part of the medical robot to operate
human organs. A medical robot is the intersection of multi-disciplinary research fields, in …

We introduce a comprehensive benchmark for local features and robust estimation
algorithms, focusing on the downstream task—the accuracy of the reconstructed camera …

This paper presents a self-supervised framework for training interest point detectors and
descriptors suitable for a large number of multiple-view geometry problems in computer …

Visual place recognition is a challenging task for applications such as autonomous driving
navigation and mobile robot localization. Distracting elements presenting in complex scenes …

Local feature frameworks are difficult to learn in an end-to-end fashion due to the
discreteness inherent to the selection and matching of sparse keypoints. We introduce DISK …

We present a novel deep architecture and a training strategy to learn a local feature pipeline
from scratch, using collections of images without the need for human supervision. To do so …

Matching local features across images is a fundamental problem in computer vision.
Targeting towards high accuracy and efficiency, we propose Seeded Graph Matching …