Camera Calibration Implementation Based on Binocular Vision Principles

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Resource Overview

MATLAB-based implementation of binocular vision camera calibration with GUI interface, capable of calculating intrinsic and external parameters from multi-viewfield images using stereo calibration algorithms

Detailed Documentation

This project implements camera calibration based on binocular vision principles using MATLAB software. The calibration method utilizes stereo imaging techniques to calculate both internal parameters (such as focal length, principal point, and distortion coefficients) and external parameters (including rotation matrices and translation vectors) from images captured at different viewfields. The implementation features stereo calibration algorithms that process paired images from dual cameras, employing functions like `stereoCalibrator` for parameter estimation and `estimateCameraParameters` for accuracy validation. Additionally, a user-friendly GUI interface built with MATLAB App Designer provides intuitive controls for image acquisition, calibration point selection, and real-time parameter visualization, making the calibration process more convenient and accessible for users.

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