基础矩阵 Resources

Showing items tagged with "基础矩阵"

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).

MATLAB 313 views Tagged
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This algorithm implements fundamental matrix computation for stereo vision cameras in MATLAB 2008b environment. It includes four main functions: main, sevenPoint, eightpoint, and eightpoint_norm. The main.m serves as the program entry point, handling experimental data generation and loading, calling the three fundamental matrix computation functions, and visualizing the results. The sevenPoint.m implements the 7-point algorithm, eightpoint.m uses the standard 8-point algorithm, while eightpoint_norm.m performs data normalization before applying the 8-point method for improved numerical stability.

MATLAB 238 views Tagged
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