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
A robust vision-based localization system for UAVs operating in GPS-denied environments. The system utilizes advanced computer vision techniques to achieve accurate position estimation by matching real-time drone camera feeds with satellite imagery.
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.
Mobile/PC Markerless AR detector&tracker core app
Project: 2D Feature Tracking || Udacity: Sensor Fusion Engineer Nanodegree
Keypoint-matching (AKAZE method) using OpenCV library
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)
Application to solve the depth estimation problem using stereo vision
Tracking the preceding vehicle using Lidar and camera sensors to calculate the Time To Collision (TTC).
Comparison of Content-Based Image Retrieval methods on FoodX-251
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