Avisingh599's mono-vo with SuperPoint/Superglue

GPS기반 온라인 보물찾기 게임 서비스입니다

Make Rendered Database using Rendered Image Obtained by Trained Gaussian Splatting

Multispectral Features Network (MF-Net).

Coarse-to-Fine High Resolution Image Alignment/Registration

Vision-based GNSS-Free Localization for UAVs in the Wild

visual odometry c++ wrapered by pybind11 that containes the feature extraction(traditional sift, orb, etc opencv supported, pytorch supported learning feature), feature matching(flann, supperglue), essential estimator(five, eight, p3p etc), triangulation

simple library to make life easy when deploying superpoint, superglue models

SuperPoint Visual frontend with SPTAM

App for comparing traditional and learned techniques of feature detection and description on Android

SuperPoint with pretrain model and implement in Tensorflow C++

Sparse-Dense Motion Modelling and Tracking for Manipulation without Prior Object Models

Twilight SLAM is unique framework augmenting the SLAM navigation frameworks with low-light image enhancement modules for navigating in dusky or extremely low-light or any illumination rendered featureless environments.

Building a full Visual SLAM pipeline to experiment with different techniques

Dive into cutting-edge FusionSLAM, where SuperPoint, SuperGlue, Neural Depth Estimation, and Instant-NGP converge, elevating Monocular SLAM to unparalleled precision and performance. Redefining mapping, localization, and reconstruction in a single camera setup.

MFD - Multispectral Feature Descriptor

The implementation about feature matching using various method !!

scripted and traced deep learning models and their applications

CVPR 2022 "Image Matching: Local Features and Beyond" workshop challenge: Kaggle Silver Medal solution (34th out of 642 teams).