Stereo vision is a computer vision technique that aims to recover 3D information from two or more images of the same scene taken from different viewpoints. It works by identifying corresponding points in the images and calculating the disparity (difference in position) between them. This disparity information is then used to estimate the depth or distance to those points. Stereo vision is commonly used in robotics, autonomous vehicles, 3D reconstruction, and medical imaging to perceive and understand the spatial layout of the environment.
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