Local feature matching using deep learning: A survey

S Xu, S Chen, R Xu, C Wang, P Lu, L Guo - Information Fusion, 2024 - Elsevier
Local feature matching enjoys wide-ranging applications in the realm of computer vision,
encompassing domains such as image retrieval, 3D reconstruction, and object recognition …

GV-Bench: Benchmarking Local Feature Matching for Geometric Verification of Long-term Loop Closure Detection

J Yu, H Ye, J Jiao, P Tan, H Zhang - arXiv preprint arXiv:2407.11736, 2024 - arxiv.org
Visual loop closure detection is an important module in visual simultaneous localization and
mapping (SLAM), which associates current camera observation with previously visited …

Highly robust thermal infrared and visible image registration with canny and phase congruence detection

M Chen, S Yi, L Wu, H Yin, L Chen - Optics and Lasers in Engineering, 2024 - Elsevier
When a dual-optical vehicle-mounted camera is photographed, visible and thermal infrared
(VI-T) images cannot be registered, and realising fine matching of the images to solve for the …

LiteVLoc: Map-Lite Visual Localization for Image Goal Navigation

J Jiao, J He, C Liu, S Aegidius, X Hu, T Braud… - arXiv preprint arXiv …, 2024 - arxiv.org
This paper presents LiteVLoc, a hierarchical visual localization framework that uses a
lightweight topo-metric map to represent the environment. The method consists of three …

Mismatched: Evaluating the Limits of Image Matching Approaches and Benchmarks

S Bonilla, C Di Vece, R Daher, X Ju, D Stoyanov… - arXiv preprint arXiv …, 2024 - arxiv.org
Three-dimensional (3D) reconstruction from two-dimensional images is an active research
field in computer vision, with applications ranging from navigation and object tracking to …

RDLR: A Robust Deep Learning-Based Image Registration Method for Pediatric Retinal Images

H Zhou, W Yang, L Sun, L Huang, S Li, X Luo… - Journal of Imaging …, 2024 - Springer
Retinal diseases stand as a primary cause of childhood blindness. Analyzing the
progression of these diseases requires close attention to lesion morphology and spatial …