Interest point detection is one of the most fundamental and critical problems in computer
vision and image processing. In this paper, we carry out a comprehensive review on image …

Deep-learning-based local feature extraction algorithms that combine detection and
description have made significant progress in visible image matching. However, the end-to …

Recent studies have shown promising results on joint learning of local feature detectors and
descriptors. To address the lack of ground-truth keypoint supervision, previous methods …

Recently Transformers have provided state-of-the-art performance in sparse matching,
crucial to realize high-performance 3D vision applications. Yet, these Transformers lack …

The task of key-points detection and description is to estimate the stable location and
discriminative representation of local features, which is essential for image matching …

In view of the poor performance of traditional feature point detection methods in low-texture
situations, we design a new self-supervised feature extraction network that can be applied to …

Local feature extraction is a key link in realizing computer vision tasks. Although the related
research has made great progress, the balance of network efficiency and accuracy has …

Learning-based local feature point extraction work has made great research progress in
related computer vision tasks. However, it is difficult to balance the detection speed and …

For indoor application, which is an entirely GPS-denied environment, visual simultaneous
localization and mapping (SLAM) facilitates the real autonomy of unmanned aerial vehicle …

Multi-robot system outperforms in efficiency for cooperative task, where the challenging
burden of information exchange for surrounding environment is facilitated by collaborative …