Random sample consensus (RANSAC) is an iterative algorithm used to estimate model parameters from data that contains outliers. It assumes the presence of both inliers and outliers in the data and aims to find the best model that fits the inliers while ignoring the outliers. RANSAC is a non-deterministic algorithm that improves its results with more iterations, and it was first introduced in 1981 to solve the Location Determination Problem.
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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