The Harris corner detector is a widely used computer vision algorithm that extracts corners and identifies features in an image. It was developed in 1988 as an improvement over Moravec's corner detector, taking into account the differential of the corner score with respect to direction. This makes it more accurate in distinguishing between edges and corners, and it has since been adopted in various image preprocessing algorithms.
University of Washington
Winter 2022
A general introduction to computer vision, this course covers traditional image processing techniques and newer, machine-learning based approaches. It discusses topics like filtering, edge detection, stereo, flow, and neural network architectures.
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