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
Orb is a massive footprinting tool.
Match a cropped image to the original image with an efficient algorithm using Python and OpenCV.
Image key points Extraction, Description, Feature Matching
Thermal To Visible Image Registration
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.
A simple anti-recoil software for Player Unknown's Battleground Mobile emulator for PC
Camera trajectory estimation using feature-based Visual Odometry from a monocular camera.
Classification of cans, plastic, and glass bottles using feature extraction and support vector machine method.
Processing videos of digital electricity meter to extract readings using OpenCV and Python
Depth Estimation Using Stereo Cameras
Landmark detection and localization project using python.
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.
Repository concerning a feature detector and tracker developed for the Computer Vision course of the master's degree in Computer Science at University of Trento
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
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