Homography Matrix Estimation

This document presents a practical tool - MATLAB source code for homography matrix estimation. This implementation plays a vital role in computer vision applications such as image registration. The code enables accurate calculation of homography matrices, facilitating precise image alignment through geometric transformation. The implementation utilizes point correspondences between images to compute the homography using Direct Linear Transform (DLT) algorithm with optional RANSAC for robust outlier rejection. Key functions include feature point detection, correspondence matching, and matrix estimation with normalization techniques to improve numerical stability. The program supports various image types including color images and grayscale images through automatic preprocessing and conversion routines. The user interface is designed for simplicity and intuitiveness, making it accessible even for users without extensive programming experience. Users simply need to run the main script and follow the interactive prompts to load images, select corresponding points, and obtain the homography matrix. Additional features include error estimation metrics, visualization of transformation results, and export capabilities for further processing. The code is modularly structured with separate functions for image loading, point selection, matrix computation, and validation, allowing easy integration into larger computer vision pipelines. This source code serves as a valuable tool that can significantly contribute to your computer vision projects by providing reliable homography estimation with professional implementation standards.