The goal of this project is to accurately segment the iris region of an eye from given images and convert it into a co-centricity invariant representation by transforming Cartesian coordinates to polar coordinates. This involves two key steps: detecting the iris boundaries using circle detection techniques and converting the segmented iris region t

Program that reads two pictures of a rubik's cube and returns a solution

Algorithms for Connecting Edge Points. Local, regional and global processing.

This is a computer vision project using python3 and conventional computer vision techniques to determine a relative distance between two points in a given scene. [DOCUMENTED]

This repository contains a lane detection pipeline using OpenCV and a Tkinter-based GUI for video comparison. The tool processes input videos to detect and highlight lane lines, and displays both the original and processed videos side by side. Features include curvature calculation, speed control, and dark mode.A project leveraging futuristic ideas

Utilized OpenCV to effectively detect and interpret lane lines, a critical function for Autonomous Cars

K-means clustering is an algorithm that groups similar data points into a predetermined number of clusters by minimizing the sum of squared distances between data points and their cluster centroids.

This repository contains the code to detect lanes using Hough transform

Product recognition on store shelves with Computer Vision tecniques (university project for Computer Vision and Image Processing)

Clock Time Extraction: Utilizes OpenCV to detect clocks, identify hands, and infer time from rotation angles, enabling automated time extraction from clock images.

Tutorials of the "Mathemagics" behind computer vision before the deep learning era.

Road Lane Detection using Hough Transform

Tracklet-less Heliocentric Orbit Recovery

This project aims to estimate camera pose using homography for a given video. Steps involved are designing an image processing pipeline to extract paper's corners, computing homography between real-world points and pixel coordinates of the corners, and decomposing the homography matrix to obtain rotation and translation parameters.

RoadLane-Detector is a Python project that detects and highlights lanes on road using OpenCV. This will be useful for self driving cars.

This GitHub repository provides a comprehensive guide and implementation of the Hough Transform for line detection in Python using OpenCV. It covers step-by-step instructions for implementing the algorithm from scratch, including edge detection, parameter space transformation, and line extraction.

This assignment involves creating three magical tricks using computer vision techniques.

DeDA: Differentiable Image Integration Library

Hough transformating based robot algorithm. 2023 Fall "Intelligent Robot" course.