Computer stereo vision is the use of digital images to extract 3D information from a scene. It works by comparing two images taken from different vantage points and examining the relative positions of objects in each image. This process is similar to how humans perceive depth through stereopsis.
Stanford University
Winter 2023
This course introduces concepts and applications in computer vision, focusing on geometry and 3D understanding. It covers topics like filtering, edge detection, segmentation, clustering, shape reconstruction from stereo, and high-level visual topics. Knowledge of linear algebra, basic probability, and statistics is required.
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