SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)
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Updated
Aug 30, 2024 - Python
SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)
Visual localization made easy with hloc
A clean and concise Python implementation of SIFT (Scale-Invariant Feature Transform)
[CVPR 2020, Oral] MaskFlownet: Asymmetric Feature Matching with Learnable Occlusion Mask
🤗 image matching toolbox webui
Interactive code for image similarity using SIFT algorithm
[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.
Barcode detection and decoding using openCV and Zbar.
ONNX-compatible LightGlue: Local Feature Matching at Light Speed. Supports TensorRT, OpenVINO
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
[CVPR 2023] DKM: Dense Kernelized Feature Matching for Geometry Estimation
Patch2Pix: Epipolar-Guided Pixel-Level Correspondences [CVPR2021]
图像配准算法。包括 SIFT、ORB、SURF、AKAZE、BRIEF、matchTemplate
Implementing different steps to estimate the 3D motion of the camera. Provides as output a plot of the trajectory of the camera.
ROS wrapper for SuperGlue and SuperPoint models
Pose Correction for Highly Accurate Visual Localization in Large-scale Indoor Spaces (ICCV 2021)
Information and relevant research from 2021 Auburn University REU on Smart UAVs. Computer Vision through terrain image processing, specifically through implementations of SIFT (feature matching) and template matching.
ONNX-compatible DeDoDe 🎶 Detect, Don't Describe - Describe, Don't Detect, for Local Feature Matching. Supports TensorRT 🚀
[AAAI2023] TopicFM: Robust, Efficient, and Interpretable Topic-Assisted Feature Matching
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