Image Classifier built using Python, OpenCV. Using ORB for feature detection and knn matcher for matching the features.
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Updated
Jul 20, 2020 - Python
Image Classifier built using Python, OpenCV. Using ORB for feature detection and knn matcher for matching the features.
Computer vision and cognitive systems: concepts, methods, and technologies
Todo o conteúdo produzido para a unidade curricular VC (Visão por Computador), para o curso em Engenharia Informática e Computação na FEUP
Map images to representation vectors.
Panoramic image stitching using traditional and deep learning approach
Matlab implementation of computer vision algorithms
exercises in CV
Computer vision small projects. Algorithms from scratch.
A Where's Waldo puzzle solver made using OpenCV and Python.
CMSC733 - Pipeline to reconstruct a 3D scene and simultaneously obtain the camera poses of a monocular camera w.r.t. the given scene
A computer vision toolkit focused on color detection and feature matching using OpenCV. It allows you to easily start the picamera in case you're using a Raspberry PI
Examples of some feature descriptors and feature matching algorithms in Computer vision
Scale Invariant Feature Transform and Feature Matching
Product recognition on store shelves with Computer Vision tecniques (university project for Computer Vision and Image Processing)
This reposetory contains codes to evaluate the extent of attenuation of shock waves.
Implementing the concept of Stereo Vision. We are given 3 different datasets, each of them containing 2 images of the same scenario but taken from two different camera angles. By comparing the information about a scene from 2 vantage points, we can obtain the 3D information by examining the relative positions of objects.
API for panoramer
A collection of scripts that handle and compare images based on terrain traversability estimation grid maps
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
Implementation of my MSc thesis work, entitled "Optical pose estimation in robotics applications"
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