Stereo Matching is a computer vision technique that calculates depth information by comparing two or more images of the same scene captured from different viewpoints (like human binocular vision). It identifies corresponding pixels between stereo pairs to compute disparities, which are converted into depth maps. Used in autonomous vehicles, robotics, and 3D reconstruction to perceive spatial relationships in the environment.
