Source Code for Calculating Homography Matrix Between Two Images

In the landmark paper "A Flexible New Technique for Camera Calibration," Zhengyou Zhang presents an innovative method for computing the homography matrix between two images. This flexible technique serves as a fundamental component in camera calibration pipelines. The homography calculation can be effectively implemented using Zhang's referenced source code, which typically involves key steps such as feature point detection (often using corner detectors like Harris), point correspondence matching (with RANSAC for outlier rejection), and solving the linear system through singular value decomposition (SVD) to obtain the 3×3 homography matrix. This source code provides practical insights into applying this technique, enabling more efficient camera calibration workflows. By leveraging this implementation, researchers and developers can significantly improve the accuracy and effectiveness of their image processing applications, particularly in computer vision tasks requiring precise geometric transformations between image planes.