Classic Zhang Zhengyou Camera Calibration Method
Implementation of the classic Zhang Zhengyou camera calibration method with Chinese annotations for better understanding of the algorithm's workflow and parameter computation process
MATLAB-based Camera Calibration for 2D and 3D Applications
Comprehensive MATLAB-based camera calibration solution (Documentation + Sample Images + Source Code) featuring implementation for both 2D and 3D camera systems with detailed algorithmic explanations
Source Code for Calculating Homography Matrix Between Two Images
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.
MATLAB Implementation of Camera Calibration Using Sphere Method
A MATLAB-based camera calibration program that determines intrinsic and extrinsic camera parameters using spherical objects. Includes calibration images and demonstrates coordinate transformation techniques.
Camera Calibration
In computer vision applications, cameras project 3D world points onto 2D image planes. Traditional cameras possess intrinsic parameters such as optical center, focal length, and lens distortion parameters that significantly impact the imaging process. While manufacturers typically provide these specifications, it's crucial to note that focal length changes during zoom operations, and other parameters may also vary to minimize distortion. For depth calculation and 3D scene reconstruction, accurate camera position relative to reference points must be determined. In stereo vision systems, one camera can serve as the reference point, requiring both intrinsic parameters and relative rotation/translation between cameras. Standard implementation approaches often utilize chessboard patterns for calibration procedures.
Calculating Maximum Inscribed Rectangle Area in an Image
Algorithm for computing maximum inscribed rectangle area within an image object. Implementation steps include: 1. Camera calibration using object-image relationship equations with parameter validation 2. Target segmentation from background 3. Edge detection using appropriate algorithms 4. Shape parameter calculation for geometric analysis.
Camera Calibration Using Zhang Zhengyou's Classic Method
Camera calibration implementation with Zhang Zhengyou's algorithm, featuring complete MATLAB/OpenCV code, included research papers, and practical running examples
MATLAB Implementation of Camera Calibration with Projection Matrix Computation
A camera calibration program featuring data validation and dual-camera projection matrix calculation for stereo vision applications
Camera Calibration in Stereo Vision
Camera calibration program for stereo vision using the Zhang's calibration method! A highly practical implementation featuring robust parameter estimation and automated error correction.
Distortion Correction for Images Using Camera Calibration Parameters
Load camera calibration results from a calibration toolbox to perform image distortion correction, including implementation of radial and tangential distortion removal algorithms