The Hough transform is a feature extraction technique used to find imperfect instances of objects within a certain class of shapes. It uses a voting procedure in a parameter space to obtain object candidates as local maxima in an accumulator space. It has been extended to identify circles and ellipses, and was invented by Richard Duda and Peter Hart in 1972.
Carnegie Mellon University
Spring 2022
This course gives an expansive introduction to computer vision, focusing on image processing, recognition, geometry-based and physics-based vision, and video analysis. Students will gain practical experience solving real-life vision problems. It requires a good understanding of linear algebra, calculus, and programming.
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