Eight-Point Algorithm Implementation for Image-based 3D Reconstruction
Successfully implemented in MATLAB, this project enables 3D reconstruction using computer vision techniques. The implementation features the eight-point algorithm with SVD decomposition for fundamental matrix estimation through least squares solution. Includes MATLAB functions: reconstruct_twoview (two-view reconstruction), rot_matrix (rotation matrix operations), skew (skew-symmetric matrix generation), triple_product (vector triple product computation), exp_rotation (exponential map for rotations), dessential (essential matrix decomposition), and compute3DStructure (3D point cloud calculation).