This repo includes solutions to all the 'in the class quizzes' and 7 problem sets of the Introduction to Computer Vision course (G Tech CS6476 - on Udacity)

Implementation for Harris Corner Detection Algorithm in Python without using OpenCV functionality

Computer Vision course at Technical University of Munich

Python application for autostitching panoramic images.

Harris Corner Detector is a corner detection operator that is commonly used in computer vision algorithms to extract corners and infer features of an image.

Kanade-Lucas-Tomasi (KLT) tracking algorithm and Harris Corner Detection implementation

Weekly graded projects of the "Computer Vision" course, ETH Zürich (Fall 2020).

In this repo advanced vision tools are used . Algorithms for edge detection of various filters and scaling.

Implement: Sobel; Canny; Harris; Hough line; Fit line; RANSAC.

Few computer vision algorithms implemented in Python for university course.

A CUDA-acclerated Harris Corner Detector

Automated extraction of polygons from a floor plan image.

Local Feature Matching

Program for Harris Corner Detection with non-maximum Suppression, HOG Feature Extraction, Feature Comparison, Gaussian Noise and Smoothing.

[ECE NTUA] Image & Video Analysis - Programming Sets & Solutions (2020-2021)

Code to superimpose an image over an April Tag and draw a virtual cube on it.

Finds corner features in multiple images and aligns the images in a mosaic by estimating a homography between corresponding features

A baseline/jump-off project for segmentation of cardiac regions and detection of myocardial infarction. Dataset used: https://www.kaggle.com/datasets/aysendegerli/hmcqu-dataset

This is a web based application which takes as input the image of a handdrawn flow chart with text and polygonal hapes, and digitailzes it.

This is a ROS package, written in CUDA C, that's able to recognize doors using Canny and Harris filters.