Ransac

Robust regression with random sample consensus

Robust regression with random sample consensus
  1. What problem is RANSAC trying to solve?
  2. What is RANSAC used for?
  3. What is RANSAC threshold?

What problem is RANSAC trying to solve?

They used RANSAC to solve the Location Determination Problem (LDP), where the goal is to determine the points in the space that project onto an image into a set of landmarks with known locations. RANSAC uses repeated random sub-sampling.

What is RANSAC used for?

In computer vision, RANSAC is used as a robust approach to estimate the fundamental matrix in stereo vision, for finding the commonality between two sets of points for feature-based object detection, and registering sequential video frames for video stabilization.

What is RANSAC threshold?

Error Tolerance Threshold is used by RANSAC in order to determine if a data sample agrees with a model or not. The samples under this threshold would then form that consensus for that model, which would be the inliers of the data set if the correct model is found.

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