Image Matching Using Affine Transformation

This article explores an image matching program based on affine transformation, implemented using MATLAB as the primary development environment. Affine transformation-based image matching serves as a crucial tool with diverse applications in computer vision, simulation, and robotics. The core implementation involves calculating transformation matrices using key point correspondences and applying geometric transformations through MATLAB's imwarp function. Through image transformation and matching operations, we can achieve significant functionalities such as image registration, object tracking, and 3D reconstruction. The program utilizes feature detection algorithms (like SIFT or ORB) to establish point correspondences and employs optimization methods to compute the optimal affine parameters. Additionally, this program provides valuable insights into fundamental principles of image processing and computer vision, thereby enhancing technical skills and knowledge. For those interested in this field, this program serves as an excellent starting point to understand and master affine transformation-based image matching techniques through practical implementation involving coordinate transformation, matrix operations, and similarity measurement algorithms.