Webapplication for image stitching and aligning

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

Feature Detection and Description with SIFT, SURF, KAZE, BRIEF, ORB, BRISK, AKAZE and FREAK using Python and OpenCV

Detection of copy-move forgery in an image with CMDF methods. (SIFT, SURF, AKAZE, RANSAC)

Use OpenCV 2D Features framework to transform images of one scene into the same coordinate system and make a panorama.

Project: 2D Feature Tracking || Udacity: Sensor Fusion Engineer Nanodegree

Mobile/PC Markerless AR detector&tracker core app

Keypoint-matching (AKAZE method) using OpenCV library

The idea of the camera course is to build a collision detection system. You will now build the feature tracking part and test various detector / descriptor combinations to see which ones perform best.

Comparative Evaluation of Feature Descriptors Through Bag of Visual Features with Multilayer Perceptron on Embedded GPU System, published in 17th IEEE Latin American Robotics Symposium/8th Brazilian Symposium of Robotics (LARS/SBR 2020)

image retrieve based on lsh and akaze feature

Tracking the preceding vehicle using Lidar and camera sensors to calculate the Time To Collision (TTC).

Application to solve the depth estimation problem using stereo vision

Comparison of Content-Based Image Retrieval methods on FoodX-251

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.

A simple test to build a Wasm example with akaze and Rust

Repository for OpenCV's extra modules (a branch with cuda akaze implementation).