🔥SLAM, VIsual localization, keypoint detection, Image matching, Pose/Object tracking, Depth/Disparity/Flow Estimation, 3D-graphic, etc. related papers and code
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Updated
Jan 5, 2024
🔥SLAM, VIsual localization, keypoint detection, Image matching, Pose/Object tracking, Depth/Disparity/Flow Estimation, 3D-graphic, etc. related papers and code
🤗 image matching toolbox webui
Multiview matching with deep-learning and hand-crafted local features for COLMAP and other SfM software. Supports high-resolution formats and images with rotations. Both CLI and GUI are supported.
[RAL] Keypoint Matching for Point Cloud Registration Using Multiplex Dynamic Graph Attention Networks
使用ONNXRuntime部署DeDoDe:"局部特征匹配:检测,不要描述——描述,不要检测"。依然是C++和Python两个版本的程序
(3DV 2021 Oral) Filtering by Cluster Consistency for Large-Scale Multi-Image Matching
Keypoint-matching (AKAZE method) using OpenCV library
2D Feature Tracking project using OpenCV detectors and descriptors for keypoint tracking in multiple frames. The project uses a variety of detectors and descriptors and performs analysis of the best possible combination with regards to processing time and detection precision.
Tracking the preceding vehicle using Lidar and camera sensors to calculate the Time To Collision (TTC).
Python Bindings for the Hamming Binary Search Tree
Testing various detector / descriptor combinations to see which ones perform best to be used in a collision detection system. Also 2 different approaches (FLANN vs. Brute-force with the descriptor distance ratio test) for keypoints matching are tested.
[RAL] Keypoint Matching for Point Cloud Registration Using Multiplex Dynamic Graph Attention Networks
An algorithm for creating panoramic views from sequential images using computer vision techniques such as keypoints extraction, matching, and image alignment. Made in Python along with OpenCV and NumPy.
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