Webapplication for image stitching and aligning
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Updated
Mar 28, 2019 - C++
Webapplication for image stitching and aligning
Project: 2D Feature Tracking || Udacity: Sensor Fusion Engineer Nanodegree
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
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)
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
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)
Keypoint-matching (AKAZE method) using OpenCV library
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.
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
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