Explore MATLAB source code curated for "单应矩阵" with clean implementations, documentation, and examples.
Implementation of the homography matrix calculation algorithm described by Zhengyou Zhang in "A Flexible New Technique for Camera Calibration" paper, featuring robust point correspondence and linear equation solving approaches.
A collection of MATLAB utilities and practical examples for image processing and computer vision, featuring implementations of RANSAC algorithm, homography matrix computation, and other essential techniques.
Main Function for Homography Matrix Calculation in Pinhole Camera Model - Testing the algorithm for homography matrix computation. The program workflow involves: 1) Loading two input images, 2) Reading four pairs of corresponding points, 3) Calling CalcH function to compute the homography matrix, 4) Selecting a point interactively using mouse in the first image, 5) Calling WarpH function to compute the corresponding point in the second image through homography transformation, 6) Displaying the final results with visualization.
In Zhang Zhengyou's checkerboard-based camera calibration approach, the homography matrix serves as a critical step. This implementation provides high-performance source code with improved accuracy and efficiency for homography estimation.