Image Feature Point Matching Implementation with Harris Corner Detection and SSD Algorithm

This program implements feature point matching between two images using a three-stage approach: first detecting corners with Harris corner detection algorithm, then filtering matching points using Sum of Squared Differences (SSD) algorithm, and finally connecting matched points with lines for visualization. The implementation includes parameter tuning capabilities for optimizing matching accuracy.

MATLAB Code for Image Stitching Implementation

A robust image stitching program that utilizes SIFT algorithm for feature point extraction, implements mismatch filtering algorithms, and visualizes matched points with connecting lines. Key implementation note: The main function is match.m - after running the main function, enter match('image1.jpg', 'image2.jpg') in the command window.