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
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Jun 25, 2022 - Python
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
A simple anti-recoil software for Player Unknown's Battleground Mobile emulator for PC
Depth Estimation Using Stereo Cameras
Thermal To Visible Image Registration
Image Classifier built using Python, OpenCV. Using ORB for feature detection and knn matcher for matching the features.
Camera trajectory estimation using feature-based Visual Odometry from a monocular camera.
Processing videos of digital electricity meter to extract readings using OpenCV and Python
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.
An image recognition system based on machine learning in python which is capable of identifying insect images in real time .
Pose Estimation and Augmented Reality on a Rubiks Cube
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.
Code repository for Tactode tiles recognition using: (i) machine learning with HOG&SVM, (ii) deep learning with some neural networks like VGG16/19, ResNet152, MobileNetV2, YOLOv4 and SSD, (iii) matching of handcrafted features with SIFT, SURF, ORB and BRISK, and (iv) template matching.
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.
get feature map of two image and adjust both in a crop
🐝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).
Bonding panoramas
Implementation of Simultaneous Localization And Mapping(SLAM) with Visual Odometry.
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