Assignment 2 - Computer Vision (CSC8830)

This repository contains solutions to Assignment 2. Each assignment are named according to the problem solved for that question and includes corresponding Python scripts for implementation.

Assignments Overview:

1. SSD.py: Script for computing the sum of squared differences (SSD) between SIFT feature vectors of two image patches.
2. Application_2: Extension of Application.py from Assignment 1 with additional integral image and image stitching functions.
3. Canny_Edge.py: Script for manual implementation of Canny edge detection.
4. CannyEdgesDetected: Directory containing images with detected edges using the Canny edge detection algorithm.
5. Checking_SIFT_Availability.py: Script for checking the availability of SIFT feature extraction in OpenCV.
6. Harris_Corner_Detection.py: Script for manual implementation of Harris corner detection.
7. Harris_Corners_Detected: Directory containing images with detected corners using the Harris corner detection algorithm.
8. Homography_Inverse.py: Script for computing the inverse of a homography matrix.
9. homography_matrices.txt: Text file containing homography matrices computed between image pairs.
10. ImageStitch.py: Script for image stitching to create a 360-degree panoramic output.
11. Integral_ImageFeed.py: Script for computing and displaying the integral image feed along with the RGB feed.
12. index.html file to render the output. Please store it in a templates folder in the same directory before executing the application.