Principles of Binocular Vision Algorithms: Theory and Implementation

This article provides a comprehensive exploration of binocular vision algorithms, covering both theoretical foundations and practical code implementation. We will demonstrate how to utilize these algorithms for measuring workpiece dimensions in three-dimensional space, while sharing practical techniques to ensure measurement accuracy and precision. To establish fundamental understanding, we begin with core concepts including stereo vision principles and 3D coordinate systems. The discussion then progresses to different types of binocular vision algorithms, analyzing their respective advantages and limitations through comparative evaluation. The implementation section will feature complete code examples demonstrating key processes such as camera calibration using OpenCV's stereoCalibrate() function, disparity map generation with stereo matching algorithms (SGBM or BM), and 3D coordinate calculation through triangulation methods. These practical examples will enable readers to directly apply the acquired knowledge to their own projects. Through this learning journey, readers will gain thorough understanding of binocular vision algorithm principles and develop practical skills for solving real-world industrial measurement challenges.