Harris Corner Detection and Match

This project implements Harris corner detection and feature matching techniques in computer vision. It includes:

• Harris corner detection implementation
• Feature matching using SSD and ratio methods
• Various test cases with different image transformations
• Visualization of keypoints and matches

Project Structure

• images/: Contains original and transformed test images
• keypoint/: Stores detected keypoints for each image
• matches/: Contains feature matching results using different methods
• output/: Includes visualization outputs of the detection and matching process

Usage

Run the Jupyter Notebook Cwk2_FeatureDetectionandMatching.ipynb to execute the project.

Results

The project demonstrates robust feature detection and matching across various image transformations including:

• Rotation
• Noise
• Blurring
• Brightness changes
• Pixelation