Structure from motion (SfM) is a technique used in computer vision and visual perception to estimate three-dimensional structures from two-dimensional image sequences. It involves analyzing the local motion signals in the images to reconstruct the 3D structure. In biological vision, SfM refers to how humans and other living creatures can perceive the 3D structure of a moving object or scene from its 2D motion field on the retina.
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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