Template-Based Camera Calibration Program

This template-based camera calibration program implemented in MATLAB is designed for calibrating dual-camera systems. The program is developed to accurately measure the relative positions and orientations between two cameras. It employs template matching algorithms to identify feature points on camera calibration boards and calculates both intrinsic and extrinsic camera parameters based on the positions of these feature points. The implementation includes key functions for corner detection, homography estimation, and nonlinear optimization to minimize reprojection errors.

Through this program, high-precision camera calibration results can be obtained, providing a reliable foundation for subsequent 3D reconstruction and image processing tasks. The algorithm workflow involves capturing multiple views of the calibration pattern, automatically detecting chessboard corners using sub-pixel accuracy methods, and solving camera parameters through linear initialization followed by bundle adjustment refinement.

Additionally, the program features a user-friendly graphical interface that simplifies and controls the camera calibration process, allowing users to visualize detected points, monitor calibration accuracy, and export calibration parameters in standard formats. In summary, this template-based camera calibration program serves as a powerful and practical tool that plays a significant role in computer vision and image processing applications, particularly in stereo vision systems and multi-camera setups.