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

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

This repo contains implementations of some of the classical computer vision algorithms/techniques for feature extraction, feature matching, image transformation, color image reconstruction, image denoising, image classification, and image segmentation.

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).

Python application for autostitching panoramic images.

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

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

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

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.