A Python project for reconstructing RGB images from grayscale plates with stacked channels using ORB feature matching and homography alignment.
OpenCV ORB 특징 매칭으로 금속 부품 이미지 판별
A simple tool to compare and match image signatures using color clustering (K-Means) and ORB feature matching. Ideal for signature or visual pattern verification.
Fusion d'images via OpenCV utilisant SIFT et ORB pour créer des panoramas.
This project performs iris recognition using ORB (Oriented FAST and Rotated BRIEF) feature extraction and BFMatcher for feature matching. It compares two iris images to determine whether they belong to the same person based on a similarity score. The results include a match score, authentication decision, and visualized keypoints & matches.
🐝BeeTrace — это веб-приложение, которое использует методы компьютерного зрения для обнаружения и сопоставления объектов на парах изображений с помощью алгоритма ORB (Oriented FAST and Rotated BRIEF).
This program receives images from the Turtlebot4 camera in a ROS2 environment, detects objects (fire extinguishers and people) in real time, estimates the locations of the objects, and publishes them as ROS Marker publisher.
This repository provides a collection of Python tools and applications for comparing images using various algorithms such as ORB (Oriented FAST and Rotated BRIEF) and SSIM (Structural Similarity Index). The tools include both command-line scripts and graphical user interface (GUI) applications for ease of use
Match a cropped image to the original image with an efficient algorithm using Python and OpenCV.
CircleCI orb for reporting test coverage to DeepSource
Pose Estimation and Augmented Reality on a Rubiks Cube
jigsaw puzzle and grid puzzle solver
The implementation of part of the ORB (Oriented FAST and Rotated BRIEF) pipeline. The ORB consists of the feature detector and feature descriptor that detect and describe reproducible and discriminative regions in an image. Those, in turn, can be matched between pairs of images for correspondence search, 3D reconstruction, and so on.
This is an example to find multiple objects in images that match a template using ORB and SIFT feature detection methods. Handles different scales and rotations.
Application to solve the depth estimation problem using stereo vision
Camera trajectory estimation using feature-based Visual Odometry from a monocular camera.
An image recognition system based on machine learning in python which is capable of identifying insect images in real time .
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