MATLAB Implementation of Binocular Stereo Vision

Binocular stereo vision is a computer vision technique that simulates human binocular vision system using two cameras to perceive object depth. This technology has wide applications in industrial, military, medical, gaming, and other fields. In this article, we demonstrate how to implement binocular stereo vision using MATLAB, providing a beginner-friendly approach with detailed algorithm explanations. The implementation typically involves key steps: camera calibration using MATLAB's Computer Vision Toolbox functions like `cameraParameters()` to obtain intrinsic and extrinsic parameters; stereo image rectification with `stereoParameters()` to align epipolar lines; disparity map calculation through block matching algorithms implemented with `disparity()` function; and depth estimation using triangulation principles. We provide comprehensive code examples and sample images to help readers better understand and master this technology, including practical implementations of feature detection, correspondence matching, and 3D point cloud generation.