feature-matching topic
Superpoint-LightGlue-Image-Stiching
Integrate SuperPoint and LightGlue into OpenCV image stitching or Matching algorithm
RDMNet
[TITS] reliable dense matching based point cloud registration for autonomous driving
visual-odometry
Implementing different steps to estimate the 3D motion of the camera. Provides as output a plot of the trajectory of the camera.
SuperGlue_ROS
ROS wrapper for SuperGlue and SuperPoint models
sift-cpp
A C++ SIFT implementation (Scale invariant feature transform)
Image-Registration
Thermal To Visible Image Registration
SemiSuper_GAN
Tf implementation of Semi-supervised GAN
SuperPoint-SuperGlue-TensorRT
SuperPoint and SuperGlue with TensorRT. Deploy with C++.
RoMa
[CVPR 2024] RoMa: Robust Dense Feature Matching; RoMa is the robust dense feature matcher capable of estimating pixel-dense warps and reliable certainties for almost any image pair.
PEAL
[CVPR2023] PEAL: Prior-embedded Explicit Attention Learning for Low-overlap Point Cloud Registration