3D Reconstruction MATLAB Program Based on Two-View Geometry

This is a complete MATLAB program for 3D reconstruction based on two-view geometry. The program has been thoroughly tested and verified to work correctly, incorporating essential components such as point cloud generation, feature matching, and 3D reconstruction algorithms. It utilizes two images captured from different angles to reconstruct three-dimensional scenes. The implementation demonstrates strong practicality and powerful functionality through well-structured MATLAB code that follows computer vision best practices. The program likely implements key computer vision techniques including: - Feature detection and matching using algorithms like SIFT or SURF - Fundamental matrix estimation for establishing epipolar geometry - Triangulation methods for 3D point calculation - Point cloud processing and visualization - Bundle adjustment optimization for refined reconstruction results This robust implementation provides a comprehensive workflow from image input to 3D output, making it valuable for educational and research purposes in computer vision and 3D reconstruction applications.