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.

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

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

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

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.

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