SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)
-
Updated
Oct 30, 2022 - Python
SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)
Visual localization made easy with hloc
Code for "LoFTR: Detector-Free Local Feature Matching with Transformers", CVPR 2021, T-PAMI 2022
A clean and concise Python implementation of SIFT (Scale-Invariant Feature Transform)
Pixel-Perfect Structure-from-Motion with Featuremetric Refinement (ICCV 2021, Best Student Paper Award)
[CVPR 2020, Oral] MaskFlownet: Asymmetric Feature Matching with Learnable Occlusion Mask
💎 "Marker-less Augmented Reality" with OpenCV and OpenGL.
🤗 image matching toolbox webui
Interactive code for image similarity using SIFT algorithm
Barcode detection and decoding using openCV and Zbar.
SuperPoint and SuperGlue with TensorRT. Deploy with C++.
An Evaluation of Feature Matchers for Fundamental Matrix Estimation (BMVC 2019)
Feature Detection and Matching with SIFT, SURF, KAZE, BRIEF, ORB, BRISK, AKAZE and FREAK through the Brute Force and FLANN algorithms using Python and OpenCV
Semi-supervised Learning GAN
ezSIFT: An easy-to-use standalone SIFT library written in C/C++
[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.
ONNX-compatible LightGlue: Local Feature Matching at Light Speed. Supports TensorRT, OpenVINO
[CVPR 2023] DKM: Dense Kernelized Feature Matching for Geometry Estimation
Patch2Pix: Epipolar-Guided Pixel-Level Correspondences [CVPR2021]
Add a description, image, and links to the feature-matching topic page so that developers can more easily learn about it.
To associate your repository with the feature-matching topic, visit your repo's landing page and select "manage topics."